HadarDavidson/colored-noise-sampling
Official Implementation of "Colored Noise Diffusion Sampling"
GitHub repository with 32 stars and 2 forks.
Language: Jupyter Notebook
Topics: diffusion, flow-matching, image-generation, sampling-methods, sde
Official Implementation of "Colored Noise Diffusion Sampling"
GitHub repository with 32 stars and 2 forks.
Language: Jupyter Notebook
Topics: diffusion, flow-matching, image-generation, sampling-methods, sde
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-02: 32 stars and 2 forks.
Official Implementation of "Colored Noise Diffusion Sampling"
GitHub repository with 32 stars and 2 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: diffusion, flow-matching, image-generation, sampling-methods, sde
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,259 stars and 589 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,981 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,620 stars and 1,015 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,685 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 73,988 stars and 12,525 forks.
Trending score: 1.57; stars gained: +24; forks gained: +12.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,859 stars and 6,348 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
A framework for efficient model inference with omni-modality models
GitHub repository with 4,952 stars and 1,053 forks.
Trending score: 1.61; stars gained: +49; forks gained: +18.
Language: Python
Topics: audio-generation, diffusion, image-generation, inference, model-serving, multimodal
Your Friendly Open-Source Gen-AI Platform
GitHub repository with 4,608 stars and 812 forks.
Trending score: 1.32; stars gained: +23; forks gained: +2.
Language: TypeScript
Topics: generative, colaboratory, colaboratory-notebook, gan, diffusion, machinelearning
Stable Diffusion web UI
GitHub repository with 163,383 stars and 30,374 forks.
Trending score: 1.28; stars gained: +10; forks gained: +3.
Language: Python
Topics: deep-learning, diffusion, image-generation, image2image, img2img, text2image
A unified framework for easy reinforcement learning in Flow-Matching models
GitHub repository with 557 stars and 42 forks.
Trending score: 1.17; stars gained: +11; forks gained: +0.
Language: Python
Topics: diffusion, flow-matching, image-generation, reinforcement-learning, video-generation
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
GitHub repository with 693 stars and 26 forks.
Trending score: 0.93; stars gained: +8; forks gained: -1.
Language: Python
Topics: consistency-model, diffusion, distillation, jacobian-vector-product, video-generation, few-step-generation