mkofinas

black

The uncompromising Python code formatter

ruff

An extremely fast Python linter and code formatter, written in Rust.

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

copilot.vim

Neovim plugin for GitHub Copilot

PokemonRedExperiments

Playing Pokemon Red with Reinforcement Learning

isort

A Python utility / library to sort imports.

gemma_pytorch

The official PyTorch implementation of Google's Gemma models

indent-blankline.nvim

Indent guides for Neovim

awesome-graph-transformer

Papers about graph transformers.

Awesome-Language-Model-on-Graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

graph-pde

Using graph network to solve PDEs

3DShape2VecSet

wire

wavelet implicit neural representations

hyperbolic_learning_library

An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.

stochman

Algorithms for computations on random manifolds made easier

DWSNets

Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]

random-fourier-features-pytorch

Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.

GINR

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

neural-graphs

Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).

lagrangebench

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

DINo

Time- and space-continuous neural PDE forecaster based on INRs and ODEs

pyscf-ipu

PySCF on IPU

lps

[NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch

fit-a-nef

🚀 A powerful library for efficient training of Neural Fields at scale.

Graph-Switching-Dynamical-Systems

Official code of the paper "Graph Switching Dynamical Systems" (ICML 2023)

aether

Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.

gnm

Graph Neural Machine: A New Model for Learning with Tabular Data

cond-cbnt

This is the official repository for Neural Modulation Fields for Conditional Cone Beam Neural Tomography

l2o_pytorch

Simple Learning to Optimize in PyTorch