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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Code for "Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits"
High-quality implementations of standard and SOTA methods on a variety of tasks.
Graph Neural Network Library for PyTorch
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
A library to generate LaTeX expression from Python code.
🤗 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.
This repository contains implementations and illustrative code to accompany DeepMind publications
Open source code for AlphaFold 2.
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators.
Pen and paper exercises in machine learning
Code for the TCAV ML interpretability project
🤖 Machine Learning Summer School Guide
Evolutionary Scale Modeling (esm): Pretrained language models for proteins