Pinned Repositories
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
jhwann's Repositories
jhwann/3D-Machine-Learning
A resource repository for 3D machine learning
jhwann/ARAE_torch
jhwann/awesome-deep-learning-papers
The most cited deep learning papers
jhwann/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
jhwann/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
jhwann/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
jhwann/chem_mat_deeplearning
Deep learning for chemical & material science
jhwann/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
jhwann/dtnn
Deep Tensor Neural Network
jhwann/iMatGen
iMatGen-data & code
jhwann/LocalDiff
A LocalRetro-like DNN for activation energy prediction for AMSG member training
jhwann/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
jhwann/models
Models built with TensorFlow
jhwann/NIPS2019_Physical_Science
Collection of Papers and brief summaries
jhwann/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
jhwann/ptable_trends
Python script to plot periodic trends as a heat map over the periodic table of elements
jhwann/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
jhwann/resnet-in-tensorflow
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
jhwann/retrosim
jhwann/s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
jhwann/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
jhwann/v151
Proceedings of AISTATS 2022
jhwann/v162
Proceedings of ICML 2022
jhwann/Xception-PyTorch
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions