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3d-machine-learning

A resource repository for 3D machine learning

arae_torch

awesome-deep-learning-papers

The most cited deep learning papers

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

chem_mat_deeplearning

Deep learning for chemical & material science

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dtnn

Deep Tensor Neural Network

imatgen

iMatGen-data & code

localdiff

A LocalRetro-like DNN for activation energy prediction for AMSG member training

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

models

Models built with TensorFlow

nips2019_physical_science

Collection of Papers and brief summaries

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

ptable_trends

Python script to plot periodic trends as a heat map over the periodic table of elements

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

retrosim

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

v151

Proceedings of AISTATS 2022

v162

Proceedings of ICML 2022

xception-pytorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions