Open weights language model from Google DeepMind, based on Griffin.

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

Official repo for consistency models.

A collection of tools for neural compression enthusiasts.

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Mastering Diverse Domains through World Models

Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

A powerful and flexible machine learning platform for drug discovery

Sampling with gradient-based Markov Chain Monte Carlo approaches

Baselines for Model-Based Optimization

TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

Python package built to ease deep learning on graph, on top of existing DL frameworks.

This package contains deep learning models and related scripts for RoseTTAFold

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.

Open source code for AlphaFold.

😎 Curated list of awesome resources on Compilers, Interpreters and Runtimes

Code for the paper "Representation Learning for Grounded Spatial Reasoning"

ns3-gym - The Playground for Reinforcement Learning in Networking Research

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

A modular high-level library to train embodied AI agents across a variety of tasks and environments.