InfinityStar is a unified spatio-temporal autoregressive framework open-sourced by ByteDance, designed for high-resolution image and video generation. Using a discrete autoregressive approach, it can simultaneously handle text-to-image, text-to-video, and image-to-video tasks in a single model. The framework is benchmarked in VBench ...

Koina is an open source decentralized machine learning platform focused on simplifying proteomics data analysis. Developed by a team from the Technical University of Munich, Germany and the University of Michigan, USA. The platform integrates more than 30 mainstream models (e.g., ProSIT, MS²PIP) through a standardized interface and supports peptide mass...

VibeThinker-1.5B is a 1.5 billion parameter large-scale language model open-sourced by Weibo AI. Fine-tuned based on Alibaba's Qwen2.5-Math-1.5B, it is optimized for mathematical and coding tasks and performs well, with industry-leading inference performance.

BestBlogs is a platform focused on providing high-quality content for technology practitioners, entrepreneurs, product managers, and more. Through RSS feeds and crawler technology, it collects articles, podcasts, videos, and other multi-format content from more than 400 high-quality blogs. The core strength lies in utilizing AI big language...

Egocentric-10K is a large-scale first-person view (egocentric) factory operations video dataset open-sourced by the build.ai team. The dataset contains 10,000 hours of video, totaling 1.08 billion frames, involving 2...

LazyCraft is an open source AI Agent application development and management platform built by Shangtang based on the open source framework LazyLLM, which provides one-stop AI application development solutions for enterprises and developers. It helps developers to quickly build and release large model applications with low threshold and low cost...

Kosong is a new AI Agent development framework open-sourced by Dark Side of the Moon (Moonshot AI) that provides developers with a lightweight, flexible, and highly scalable underlying support for building next-generation intelligent body applications. With an asynchronous tool orchestration engine that efficiently schedules multiple tools...

SenseNova-SI is an open source spatial intelligence grand model released by ShangTech, focusing on improving AI's ability in spatial understanding and reasoning. The model excels in six core dimensions, including spatial measurement, reconstruction, relationship judgment, perspective transformation, deformation analysis, and spatial reasoning, significantly outperforming other...

Omnilingual ASR is a multilingual speech recognition framework introduced by Meta, covering 1600+ languages, with 78% language character error rate lower than 10%. its 7 billion parameter wav2vec 2.0 encoder combined with CTC and Transformer decoder, support...

Frappe Builder is open source low-code website builder, developed by Frappe, the core feature is to provide a Figma-like visual editor that supports drag-and-drop components to build websites quickly. Part of the Frappe ecology (Frappeverse)...

DeepOCR is an open source replication project that implements the core architecture of DeepSeek-OCR, which efficiently processes textual information through optical compression techniques. The core is DeepEncoder, consisting of SAM-base (processing high-resolution images), 16× convolutional compressor...

Glow is open source command line tool for elegantly rendering Markdown files in the terminal. The tool supports highlighting code blocks , mathematical formulas and other complex elements , providing a wealth of features such as custom styles , paging display , mouse support and so on.

NocoBase is based on AI-driven open-source no-code development platform that supports the rapid construction of business systems, without programming to complete the application development through configuration. The project uses Apache-2.0 protocol , provides private deployment and flexible scalability , suitable for enterprise management , collaboration platforms and other fields ...

UniWorld V2 is a new generation of image editing model jointly launched by RabbitZhan Intelligence and UniWorld team of Peking University. It has significant advantages in the field of image editing, especially in Chinese comprehension and execution of complex commands. The model can accurately render artistic Chinese fonts and support fine...

SmartResume is Alibaba open source intelligent resume parsing and optimization tool , can efficiently extract structured information from PDF, images or Office documents , such as basic information , education and work experience . By integrating OCR technology and PDF metadata...

Step-Audio-EditX is an open source audio editing grand model, developed by the Step-Star team, focusing on fine-grained manipulation of audio content through artificial intelligence technology. The model can dynamically adjust the mood of the audio, speaking style (such as petulant, old man accent, etc.) and paralinguistic elements (such as laughter, sigh...

Open-o3 Video is an open source video inference model jointly developed by Peking University and ByteDance, focusing on enhancing video inference through temporal and spatial evidence. By explicitly labeling key evidence with timestamps and bounding boxes, it helps the model better understand and interpret video content.

Handy is open source and free local speech to text tool, supporting Windows, MacOS and Linux systems, developed by Rust and React. It is suitable for quick transcription and text input by processing voice data locally without uploading it to the cloud to ensure privacy and security.

FG-CLIP 2 is the world's leading graphical cross-modal visual language model (VL-M) launched by 360 Artificial Intelligence Research Institute, which surpasses similar models from Google and Meta in 29 authoritative benchmark tests, making it the most powerful VL-M at present.It is able to accurately recognize the gross...

The Naive Bayes algorithm is a supervised learning algorithm based on Bayes' theorem. Naive Bayes is based on Bayes' theorem. The "naive" part is the assumption that the features are conditionally independent of each other. Simplifying the assumptions greatly reduces the computational complexity and makes the algorithm efficient in practical applications.

K-Means Clustering (K-Means Clustering) is a classical unsupervised machine learning algorithm. It is mainly used to divide a dataset into K disjoint clusters. The goal of the algorithm is to assign n data points to the K clusters so that each data point belongs to the cluster corresponding to its nearest cluster center.

BettaFish is an open source multi-intelligence system for public opinion analysis. Using multi-intelligent body architecture, through Query, Media, Insight, Report and other Agents work together to achieve retrieval, extraction and reporting closed loop. The system supports AI-driven full ...

Ouro is a new type of Looped Language Models (LLMs) developed by the ByteDance Seed team, with the core innovation of directly building inference capabilities in the pre-training phase through a parameter-sharing recurrent computation structure. The model uses 24 layers as the base block through...

ChronoEdit, an open-source AI image editing framework developed by NVIDIA in conjunction with the University of Toronto, redefines the image editing task as a video generation task to ensure that the editing results are temporally and physically consistent. By distilling a pre-trained video generation model with 14B parameters from a...

LongCat-Flash-Omni is an open source fully modal big language model released by the LongCat team of Meituan. With a parameter scale of 560 billion (27 billion activated parameters), it realizes millisecond-level real-time audio and video interaction capabilities while maintaining a large number of parameters.

Petri is an open source AI security auditing framework developed by Anthropic that systematically assesses the security and behavioral alignment of AI models. By simulating a real-world scenario where an automated auditor engages in multiple rounds of conversations with a target model, followed by a judge agent that acts on the model's...

Feedforward Neural Network (FNN) is the basic and widely used artificial neural network model. The core feature is that the connections in the network do not form any loops or feedback paths, and the information flows strictly unidirectionally from the input layer to the output layer, after a...

K-Nearest Neighbors (K-Nearest Neighbors) are instance-based supervised learning algorithms that can be used for classification and regression tasks.

Convolutional Neural Network (CNN), an artificial neural network specifically designed to process data with a grid structure, has excelled in the field of image and video analysis.

Kimi Linear is a new hybrid linear attention architecture open-sourced by Dark Side of the Moon, with Kimi Delta Attention (KDA) as the core, optimizing the traditional attention model through a finer-grained gating mechanism, which significantly improves the hardware efficiency and memory control ability ...

FIBO is the world's first open source text generation image model with native JSON support developed by Bria AI. Based on the DiT (Diffusion Transformer) architecture with 8B parameters, it adopts the Flow Matching training method...

SoulX-Podcast is Soul AI Lab's open source advanced multi-speaker conversational speech synthesis model designed for generating high quality podcast content. SoulX-Podcast has the ability to generate multiple rounds of conversations, which can simulate smooth conversations in real podcasting scenarios, and supports Mandarin, English, and multiple Chinese...

GigaBrain-0 is the first end-to-end Vision-Language-Action (VLA) embodied base model in China that uses world model generation data to realize real machine generalization, and it is jointly released as open source by GigaVision and Hubei Humanoid Robot Innovation Center. It adopts the hybrid Transformer architecture, integrating ...

Ming-flash-omni-Preview is an open-source full-modal macromodel released by Ant Group inclusionAI, with a parameter scale of hundreds of billions, based on the sparse MoE architecture of Ling 2.0, with total parameters of 103B and activations of 9B. in full-modal understanding and generating...

OmniVinci is an open-source, fully modal large-scale language model developed by NVIDIA that solves the problem of modal fragmentation in multimodal models through architectural innovation and data optimization. Alignment of visual and audio embeddings is enhanced by OmniAlignNet, which utilizes temporally embedded group capture...

olmOCR 2 is an open source multimodal document parsing model from the Allen Institute for Artificial Intelligence (AI2) and is an upgraded version of olmOCR. The digitized printed documents (e.g. PDF) will be high...

ValueCell is an open source multi-intelligent body financial application platform that improves the efficiency of financial analysis and investment management through AI technology. Simulating a professional investment team, multiple AI intelligences work together, covering market analysis, sentiment analysis, fundamental research, automated trading and other functions, to provide users with a comprehensive...

Dexbotic is the open source Visual-Linguistic-Action (VLA) model of embodied intelligence one-stop scientific research service platform of Dexmal, which solves the problems of fragmentation and low efficiency of research in the field of embodied intelligence. Based on PyTorch, Dexbotic is a one-stop research service platform to solve the problems of fragmentation and inefficiency in the field of embodied intelligence...

LongCat-Video is a 1.36 billion parameter video generation model open source by the LongCat team, using the MIT open source protocol, supporting three major tasks: text-generated video, graph-generated video and video continuation. The model through the "coarse to fine" generation strategy and block sparse attention mechanism, can be in a number of minutes ...

DreamOmni2 is a multimodal AI image editing and generation model open-sourced by Jiajia's team at HKUST. Can handle both text and image commands, supports multiple reference images, providing creators with more flexible ways of creation. The model is trained using a three-stage data synthesis process , joint training generation/editing...

Cross-Validation is a core method for assessing the generalization ability of a model in machine learning.The basic idea is to split the original data into a training set and a test set, and to obtain more reliable performance estimates by rotating the use of different data subsets for training and validation. This approach simulates ...

Random Forest (Random Forest) is an integrated learning algorithm that accomplishes machine learning tasks by constructing multiple decision trees and synthesizing their predictions. The algorithm is based on the Bootstrap aggregation idea, where multiple subsets of samples are randomly drawn from the original dataset with putback for each tree...

Loss Function (Loss Function) is a core concept in Machine Learning, undertaking the important task of quantifying the prediction error of a model. This function mathematically measures the degree of difference between the model's predicted value and the true value, providing a clear directional guide for model optimization.

WorldMirror 1.1 (WorldMirror) is an open source 3D reconstruction of large models released by Tencent's WorldMirror team, which is an upgraded version of the WorldMirror series. It supports multi-view images, videos, and multi-modal a priori inputs such as camera position, internal reference, depth map, etc. It breaks through the traditional 3D reconstruction that only relies on...

DeepSeek-OCR is an advanced optical character recognition (OCR) model open-sourced by the DeepSeek team, which converts text into images through "contextual optical compression" technology, and utilizes visual tokens for compression and decoding to achieve efficient long text processing.

VitaBench is the first interactive Agent evaluation benchmark for complex life scenarios released by the LongCat team of Meituan, assessing the comprehensive capabilities of large model intelligences in real life scenarios. The three high-frequency life scenarios of take-away ordering, restaurant dining, and traveling are used as the carrier to build the package...

MinerU2.5 is a decoupled visual language model jointly developed by Shanghai Artificial Intelligence Laboratory (AIL) and Peking University, focusing on efficiently processing high-resolution document image parsing. The core innovation lies in the two-phase design of "global layout detection followed by local content recognition": the first phase is a low-resolution...

LongCat-Audio-Codec is an open source speech codec solution from the LongCat team of Meituan. The program is designed for Speech Large Language Model (Speech LLM), through the semantic and acoustic dual Token parallel extraction mechanism , taking into account the semantic and acoustic features of speech ...

PaddleOCR-VL is Baidu's open source ultra-lightweight visual-language model, optimized for document parsing scenarios. The model contains only 0.9B parameters , through the fusion of dynamic high-resolution visual coder and lightweight ERNIE language model , while maintaining high accuracy and significantly reduce the computational overhead .

UniPixel is a novel multimodal model jointly proposed by Hong Kong Polytechnic University, Tencent, Chinese Academy of Sciences and Vivo to achieve pixel-level visual language understanding. By unifying object referencing and segmentation capabilities, it supports a variety of fine-grained tasks such as image segmentation, video segmentation, region understanding, and pi...

DiaMoE-TTS is a multi-dialect speech synthesis framework jointly open-sourced by Tsinghua University and Giant Network, based on the International Phonetic Alphabet (IPA), to solve the problems of dialect data scarcity, orthographic inconsistency, and complex phonological changes. Through a unified IPA front-end standardized phoneme representation to eliminate cross-dialect differences ...

Kandinsky 5.0 is the latest video generation model series developed by Russian AI team, focusing on lightweight design and high performance performance. The first model in the series, Kandinsky 5.0 Video Lite, has only 2 billion parameters but surpasses similar 14B models, especially...

SongBloom is an open source song generation model developed by Tencent AI Lab in collaboration with The Chinese University of Hong Kong (Shenzhen) and Nanjing University, which solves the problem of "plasticity" in AI music generation, and realizes high-quality, structurally complete song generation. Simply enter 10 seconds of reference audio and corresponding lyrics, and you can...

Pyscn is an intelligent code quality analysis tool designed for Python developers to detect potential problems in code to improve maintainability. It analyzes dead code through control flow diagrams, identifies duplicate code using APTED+LSH algorithm, calculates metrics such as module coupling and circle complexity...

Youtu-Embedding is a generalized text representation model open-sourced by Tencent's Youtu Lab, designed for enterprise-level applications. Through deep neural networks to map the text to a high-dimensional vector space, so that semantically similar sentences are closer in that space, to achieve accurate semantic retrieval.

SAIL-VL2 is an open source multimodal visual language model by the Byte Jump team, focusing on joint modeling of multimodal inputs such as images and text. Using the sparse mixture of experts (MoE) architecture and progressive training strategy, it achieves high performance at parameter scales from 2B to 8B, especially in the areas of graphic comprehension, math...

In machine learning, a hyperparameter is a configuration option that is preset manually before model training begins, rather than learned from data. The central role is to control the learning process itself, as if setting a set of operating rules for the algorithm. For example, the learning...

Decision Tree (DT) is a tree-shaped predictive model that simulates the human decision-making process, classifying or predicting data through a series of rules. Each internal node represents a feature test, branches correspond to test results, and leaf nodes store the final decision. This algorithm uses a divide-and-conquer strategy...

Gradient Descent is the core optimization algorithm for solving function minimization. The algorithm determines the direction of descent by calculating the gradient of the function (the vector consisting of the partial derivatives of each), and iteratively updating the parameters according to the rule θ = θ - η - ∇J(θ).

MineContext is an active context-aware AI partner open-sourced by the ByteDance Viking team to help users efficiently manage massive amounts of information and improve the efficiency of knowledge work. Over the screenshot and content understanding technology, automatically record the user's daily operations (such as browsing the web, editing documents, etc.), support...

nanochat is an open source project released by AI legend and former Tesla AI Director Andrej Karpathy that allows individuals to quickly train a small ChatGPT-like language model at a very low cost and simplicity. The entire project uses only about 800...

LLaVA-OneVision-1.5 is an open-source multimodal model by the EvolvingLMMS-Lab team, using 8B parameter scale, through a compact three-phase training process (language-image alignment, conceptual equalization and knowledge injection, and instruction fine-tuning) on 128 A800...

Logistic Regression is a statistical learning method used to solve binary classification problems. The central goal is to predict the probability that a sample belongs to a particular category based on input features. The model maps the linear output to between 0 and 1 by linearly combining the eigenvalues using an S-shaped function...

Paper2Video is an open-source presentation video project for automatic generation of academic papers by Show Lab at National University of Singapore. Using the PaperTalker multi-intelligence framework, papers are transformed into full presentation videos containing slides, subtitles, voiceover and speaker avatar...

NeuTTS Air is open source lightweight speech synthesis model, developed by Neuphonic team, which can run in real time on local devices (e.g. cell phones, laptops, Raspberry Pi) without relying on the cloud. Using 0.5B parameter Qwen architecture and self-developed NeuCodec codec...

KAT-Dev-72B-Exp is an open-source programming-specific large language model launched by the Racer team, optimized based on reinforcement learning technology, which achieved an accuracy rate of 74.6% in the SWE-Bench Verified benchmark test, the best performance of any open-source model at present. The model uses innovative...

Jamba Reasoning 3B is a lightweight inference model open-sourced by Israeli AI startup AI21 Labs with strong performance and potential for a wide range of applications. It utilizes a hybrid SSM-Transformer architecture that combines Trans...

Agentic AI is the newest course on intelligent bodies launched by Ernest Ng.The course focuses on the design and construction of intelligent bodies, covering the four major design patterns of reflection, tool use, planning, and multi-intelligent body collaboration. Learners will master how to make intelligent bodies check outputs, autonomously adjust through theoretical explanations and code practice...

OpenAgents is the open source project that creates a network of AI agents and facilitates open collaboration between agents. A basic network infrastructure is provided to enable AI agents to seamlessly connect and collaborate. Users can quickly start their own agent network, extend functionality through a modular architecture, support...

Androidify is Google's open source project to help developers learn how to build AI-driven apps on Android. The project uses Google's latest technologies such as Jetpack Compose, Gemini API (via Fire...

Regularization is a core technique in machine learning and statistics to prevent model overfitting. Regularization controls the degree of fitting by adding a penalty term to the objective function that is related to the complexity of the model. Common forms include L1 and L2 regularization: the L1 produces sparse solutions and applies...

Generative Adversarial Network (GAN) is a deep learning model proposed by Ian Goodfellow et al. in 2014. The framework implements generative modeling by training two neural networks against each other...

Ling-1T is a trillion-parameter general-purpose language model open-sourced by Ant Group, which belongs to the flagship product of the Ling 2.0 series of Bering's large models. The model adopts a highly efficient MoE architecture, supports 128K context windows, and surpasses GPT in 7 benchmarks including code generation, mathematical reasoning, and logic test...

EchoCare is a large model of ultrasound base developed by the Center for Artificial Intelligence and Robotics Innovation (CAIR) at the Hong Kong Institute of Innovation and Research of the Chinese Academy of Sciences (CAS), trained based on the world's largest ultrasound image dataset (more than 4.5 million images), covering multi-center, multi-region, multi-ethnicity, and more than 50 individuals...

Self-Attention is a key mechanism in deep learning, originally proposed and widely used in the Transformer architecture. The core idea is to allow the model to simultaneously attend to all positions in the input sequence, and compute each position by weighted aggregation of...

Multi-Task Learning (MTL) is not an isolated algorithm, but an intelligent machine learning paradigm.

Code2Video is innovative open source project that automatically converts code snippets into high quality video content (mp4 format). The project through a unique code-centric paradigm , the use of carbon-now-cli tools to generate code into beautiful images , the use of ffmpeg will be these ...

SceneGen is an open source method for generating 3D scenes from a single image at Shanghai Jiao Tong University. From a single scene image and a target resource mask, a complete scene containing multiple 3D resources is efficiently generated, including the geometric structure of the resources, texture and relative spatial location.

Ming-UniAudio is Ant Group's open source unified audio multimodal generation model that supports mixed input and output of text, audio, image and video. Using multi-scale Transformer and hybrid expert (MoE) architecture , through modality-aware routing mechanism to efficiently handle cross-modal ...

AIMangaStudio is a free AI manga creation tool that provides creators with a complete manga creation pipeline, including plot generation, sub-scene design, character setting and other functions, which can simplify the production process from script to manga page. It supports natural language generation of comic scripts, including plot, dialog...

FireRedChat is an open source full-duplex voice interaction system for Xiaohongshu with real-time bidirectional dialog capabilities and support for controlled interruptions. Adopts a modular design , including transcription control module , interaction module and dialogue manager , etc., supports cascade and semi-cascade architecture , can be flexibly deployed .

Logics-Parsing is an open source Ali end-to-end document parsing model , based on Qwen2.5-VL-7B. Optimize document layout analysis and reading order inference through reinforcement learning , PDF images can be converted to structured HTML output to support a variety of content ...

Ring-1T-preview is an open source trillion-parameter big model of Ant Group, based on Ling 2.0 MoE architecture, pre-trained on 20T corpus, and trained in reasoning ability by self-developed reinforcement learning system ASystem. In natural language reasoning ...

RoboBrain-X0 is the world's first open source embodied model that supports zero-sample cross-ontology generalization open-sourced by Wisdom Source Research Institute, which is of great industrial significance. It can drive multiple real robots of different configurations to complete basic operation tasks without fine-tuning, and after a small amount of sample fine-tuning, it demonstrates the ability to replicate ...

Diffusion Model (Diffusion Model) is a generative model specialized for creating new data samples such as images, audio or text. The core of the model is inspired by the process of diffusion in physics, which simulates the natural diffusion of particles from a region of high concentration to a region of low concentration. In the machine...

Model fine-tuning (Fine-tuning) is a specific implementation of transfer learning in machine learning. The core process is based on pre-trained models, which utilize large-scale datasets to learn generic patterns and develop extensive feature extraction capabilities. The fine-tuning phase then introduces task-specific datasets to ...

Lynx is a high-fidelity personalized video generation model open-sourced by ByteDance that can generate identity-consistent videos with only a single portrait photo. Built on the diffusion Transformer (DiT) base model , the introduction of ID-adapter and Ref-adapte...

Claude Sonnet 4.5 is an artificial intelligence model from Anthropic designed for programming, computer operations, and complex task automation. The model excels in code generation, long-duration task processing, reasoning, and mathematical computation, supporting everything from initial planning...

DeepSeek-V3.2-Exp is a DeepSeek open source experimental AI model that significantly improves the efficiency of long text processing by introducing the DeepSeek Sparse Attention (DSA) mechanism. The model is based on DeepSeek...

HunyuanImage 3.0 (HunyuanImage 3.0) is a native multimodal image generation model released and open-sourced by Tencent. The model parameter size of 80B, is currently the best evaluation results, the largest number of parameters of the open source image generation model. Hybrid Image 3.0 supports real-time image generation, users can side...

Hunyuan3D-Part (Hybrid 3D-Part) is a 3D generation model released and open-sourced by Tencent. Composed of P3 - SAM and X - Part, it realizes high-precision and controllable component-based 3D generation for the first time, and supports 50 + components to be generated automatically. Users can first use...

AudioFly is KDDI open source AI model for text to generate sound effects. Based on the potential diffusion model architecture, with 1 billion parameters, trained on large-scale, diverse audio text datasets, covering AudioSet, AudioCaps, TUT and other public datasets and internal...

Hunyuan3D-Omni (Hybrid 3D-Omni) is an open source 3D asset generation framework by Tencent's Hybrid 3D team, which realizes accurate 3D model generation through multiple control signals. Based on Hunyuan3D 2.1 architecture, it introduces a unified control encoder that can handle point...

FLM-Audio is a native full-duplex audio dialog grand model released by Beijing Zhiyuan Artificial Intelligence Research Institute in conjunction with Spin Matrix and Nanyang Technological University of Singapore, supporting both Chinese and English. Adopting native full-duplex architecture, it can merge listening, speaking and monologue at each time step...

Attention Mechanism (Attention Mechanism) is a computational technique that mimics human cognitive processes, initially applied in the field of machine translation, and later becoming an important part of deep learning.

The Transformer architecture is a deep learning model designed for processing sequence-to-sequence tasks such as machine translation or text summarization. The core innovation is the complete reliance on self-attention mechanisms, eschewing traditional loops or convolutional structures. Allowing the model to process all elements of a sequence in parallel, large...

Pre-trained Model is a fundamental and powerful technique in the field of Artificial Intelligence, representing machine learning models that are pre-trained on large-scale datasets. Models form a broad knowledge base by processing massive amounts of information and learning generalized patterns and features from the data...

Large Language Model (LLM) is a deep learning system trained on massive text data, with the Transformer architecture at its core. The self-attention mechanism of this architecture can effectively capture long-distance dependencies in language. The model's "large ...

Long Short-Term Memory (LSTM) is a recurrent neural network variant specialized in processing sequence data. In the field of artificial intelligence, sequence data is widely used in tasks such as time series prediction, natural language processing and speech recognition.