luke-a-thompson

luke-a-thompson's Stars

• lixilinx/psgd_torch

  Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

  Language:Python1338

• ethansmith2000/fsdp_optimizers

  supporting pytorch FSDP for optimizers

  Language:Python57

• ClashLuke/HeavyBall

  Efficient optimizers

  Language:Python995

• lequanlin/GNN-Diff

  Language:Python1

• MinkaiXu/EGNO

  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

  Language:Python476

• XiaShan1227/Graphormer

  Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]

  Language:Python368

• KellerJordan/Muon

  Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead

  Language:Python1275

• psibi/how-to-prove

  My Solution to Velleman's book

  Language:TeX24195

• dso-org/deep-symbolic-optimization

  A deep learning framework for symbolic optimization.

  Language:Python596125

• luke-a-thompson/AmesFormer

  AmesFormer - A state-of-the-art graph transformer for mutagenicity prediction

  Language:Python1

• tracel-ai/cubecl

  Multi-platform high-performance compute language extension for Rust.

  Language:Rust69135

• ChosunOne/loxide

  Rust implementation of the Lox language

  Language:Rust1

• ekosachev/astray

  Language:Rust632

• Open-Markets-Initiative/Directory

  General information about The Open Markets Initiative

  36

• QizhiPei/FABind

  FABind: Fast and Accurate Protein-Ligand Binding (NeurIPS 2023)

  Language:Python11516

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.5k1.2k

• DynamicsAndNeuralSystems/pycatch22

  python implementation of catch22

  Language:C7616

• normal-computing/posteriors

  Uncertainty quantification with PyTorch

  Language:Python33113

• zhangxwww/HyperFusion

  Language:Python11

• Alex313031/Thorium-Win

  Chromium fork for Windows named after radioactive element No. 90; Windows builds of https://github.com/Alex313031/Thorium

  Language:Batchfile1.6k37

• openai/simple-evals

  Language:Python2k172

• luke-a-thompson/ames_graphormer

  Microsoft Graphormer rewritten in PyTorch-Geometric

  Language:Python5

• glzr-io/glazewm

  GlazeWM is a tiling window manager for Windows inspired by i3wm.

  Language:Rust6.7k195

• Wenox/fast-fw

  Optimized implementation of Floyd Warshall algorithm using modern AVX2.

  Language:C++8

• lsj2408/Graphormer-GD

  [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)

  Language:Python10111

• ELS-RD/kernl

  Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

  Language:Jupyter Notebook1.5k94

• PHD-lanyu/SpikeGraphormer

  This repo is for source code of paper "SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention".

  Language:Python123

• leffff/graphormer-pyg

  Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric

  Language:Python13218

• aditya-K2/gspt

  Spotify for the terminal written in Go

  Language:Go2402

• zhao-ht/DeepGraph

  This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.

  Language:Python202