Stars
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Fully open reproduction of DeepSeek-R1
Standardized benchmark for computational pathology foundation models.
Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse environments
verl: Volcano Engine Reinforcement Learning for LLMs
Aidan Bench attempts to measure <big_model_smell> in LLMs.
Bringing BERT into modernity via both architecture changes and scaling
Focused on fast experimentation and simplicity
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
List of pathology feature extractors and foundation models
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
The fastest way to create an HTML app
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Easily perform OCR on portions of the screen, choosing from a selection of backends.
OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your me…
Entropy Based Sampling and Parallel CoT Decoding
Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI
AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording
Meditron is a suite of open-source medical Large Language Models (LLMs).
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Windrecorder is a memory search app by records everything on your screen in small size, to let you rewind what you have seen, query through OCR text or image description, and get activity statistics.
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.