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A high performance Python graph library implemented in Rust.
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
An offline deep reinforcement learning library
Multilingual Sentence & Image Embeddings with BERT
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Code for the "Neural Expectation Maximization" paper.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Python package for numerical derivatives and partial differential equations in any number of dimensions.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Latex code for making neural networks diagrams
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
get things from one computer to another, safely
An elegant PyTorch deep reinforcement learning library.
Example code for the Gym documentation
A Python-embedded modeling language for convex optimization problems.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Single-cell analysis in Python. Scales to >1M cells.
A toolkit for developing and comparing reinforcement learning algorithms.
Official git repository for Biopython (originally converted from CVS)
PyTorch implementation of soft actor critic