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ape210k

This is the repository of the Ape210K dataset and baseline models.

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cdvae

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

colossalai

Making large AI models cheaper, faster and more accessible

confgf

Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed

diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

dimenet

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

e3nn

A modular framework for neural networks with Euclidean symmetry

egnn

equidock_public

EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

execeval

A distributed, extensible, secure solution for evaluating machine generated code with unit tests in multiple programming languages.

ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

g-schnet

G-SchNet - a generative model for 3d molecular structures

geom

GEOM: Energy-annotated molecular conformations

gpt-4-llm

graphdg

Generative model for molecular distance geometry

megatron-lm

Ongoing research training transformer models at scale

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

ocp

https://opencatalystproject.org/

opencodeinterpreter

OpenCodeInterpreter is a suite of open-source code generation systems aimed at bridging the gap between large language models and sophisticated proprietary systems like the GPT-4 Code Interpreter. It significantly enhances code generation capabilities by integrating execution and iterative refinement functionalities.

pocket2mol

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

prm800k

800,000 step-level correctness labels on LLM solutions to MATH problems

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".