Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
You like pytorch? You like micrograd? You love tinygrad! ❤️
A generative world for general-purpose robotics & embodied AI learning.
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Fast and memory-efficient exact attention
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Open source code for AlphaFold 2.
Minimal reproduction of DeepSeek R1-Zero
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Google AI 2018 BERT pytorch implementation
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Official git repository for Biopython (originally converted from CVS)
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Rapid fuzzy string matching in Python using various string metrics
Official repository for the Boltz biomolecular interaction models
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Official PyTorch implementation for "Large Language Diffusion Models"
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Efficient vision foundation models for high-resolution generation and perception.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…