mkofinas
PhD student, Video & Image Sense Lab, University of Amsterdam
University of AmsterdamAmsterdam, The Netherlands
mkofinas's Stars
psf/black
The uncompromising Python code formatter
astral-sh/ruff
An extremely fast Python linter and code formatter, written in Rust.
facebookresearch/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.
BlinkDL/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.
github/copilot.vim
Neovim plugin for GitHub Copilot
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
PyCQA/isort
A Python utility / library to sort imports.
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
lukas-reineke/indent-blankline.nvim
Indent guides for Neovim
wehos/awesome-graph-transformer
Papers about graph transformers.
PeterGriffinJin/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey"
neuraloperator/graph-pde
Using graph network to solve PDEs
1zb/3DShape2VecSet
maxvanspengler/hyperbolic_learning_library
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
vishwa91/wire
wavelet implicit neural representations
MachineLearningLifeScience/stochman
Algorithms for computations on random manifolds made easier
AvivNavon/DWSNets
Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
jmclong/random-fourier-features-pytorch
Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
danielegrattarola/GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
mkofinas/neural-graphs
Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
tumaer/lagrangebench
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
mkirchmeyer/DINo
Time- and space-continuous neural PDE forecaster based on INRs and ODEs
graphcore-research/pyscf-ipu
PySCF on IPU
jw9730/lps
[NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
samuelepapa/fit-a-nef
🚀 A powerful library for efficient training of Neural Fields at scale.
yongtuoliu/Graph-Switching-Dynamical-Systems
Official code of the paper "Graph Switching Dynamical Systems" (ICML 2023)
mkofinas/aether
Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.
giannisnik/gnm
Graph Neural Machine: A New Model for Learning with Tabular Data
samuelepapa/cond-cbnt
This is the official repository for Neural Modulation Fields for Conditional Cone Beam Neural Tomography
SamsungSAILMontreal/l2o_pytorch
Simple Learning to Optimize in PyTorch