JoshuaMitton

JoshuaMitton's Stars

• rodms/opticalfibreml

  Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" published at NIPS 2018

  Language:Jupyter Notebook188

• QUVA-Lab/escnn

  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

  Language:Python32944

• otaheri/MANO

  A PyTorch Implementation of MANO hand model.

  Language:Python25434

• facebookresearch/body2hands

  A method to estimate 3D hand gestures from 3D body motion input in body languages.

  Language:C10618

• hassony2/homan

  [3dv 2021] Joint fitting of hands and object from short RGB video clips

  Language:Python9414

• beabevi/ESAN

  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

  Language:Python838

• Qualcomm-AI-research/gauge-equivariant-mesh-cnn

  Language:Python616

• whitead/dmol-book

  Deep learning for molecules and materials book

  Language:Jupyter Notebook594116

• lucidrains/egnn-pytorch

  Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

  Language:Python39467

• mir-group/nequip

  NequIP is a code for building E(3)-equivariant interatomic potentials

  Language:Python559124

• lucidrains/lie-transformer-pytorch

  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

  Language:Python8710

• dwromero/g_selfatt

  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/forum?id=JkfYjnOEo6M

  Language:Python275

• nicola-decao/s-vae-pytorch

  Pytorch implementation of Hyperspherical Variational Auto-Encoders

  Language:Python34158

• odegeasslbc/Differentiable-RGB-to-HSV-convertion-pytorch

  A pytorch implementation that converts image RGB color space into HSV allowing differentiable back-propagate

  Language:Python466

• mfinzi/LieConv

  Language:Python25633

• mfinzi/equivariant-MLP

  A library for programmatically generating equivariant layers through constraint solving

  Language:Jupyter Notebook24920

• ISosnovik/sesn

  Code for "Scale-Equivariant Steerable Networks"

  Language:Python6710

• facebookresearch/Addressing-the-Topological-Defects-of-Disentanglement

  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"

  Language:Python234

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python80k21.5k

• Haggaim/InvariantGraphNetworks

  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"

  Language:Python234

• rdkit/rdkit-tutorials

  Tutorials to learn how to work with the RDKit

  Language:Jupyter Notebook24371

• johnhw/funnelplot

  Funnel plot

  Language:Jupyter Notebook451

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python680140

• crisbodnar/dgm

  Deep Graph Mapper: Seeing Graphs through the Neural Lens

  Language:Python535

• rusty1s/pytorch_sparse

  PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

  Language:Python976145

• jluttine/tikz-bayesnet

  TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

  Language:TeX827147

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  76077

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.5k3.6k

• sksq96/pytorch-summary

  Model summary in PyTorch similar to `model.summary()` in Keras

  Language:Python4k412