yuanjames

Awesome-AutoDL

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

GNNPapers

Must-read papers on graph neural networks (GNN)

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

graph-based-nn

Graph Convolutional Networks (GCNs)

NERC_Soil

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

optuna

A hyperparameter optimization framework

pygcn

Graph Convolutional Networks in PyTorch

yuanjames/optuna

A hyperparameter optimization framework

yuanjames/Awesome-AutoDL

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

yuanjames/cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

yuanjames/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

yuanjames/GNNPapers

Must-read papers on graph neural networks (GNN)

yuanjames/gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

yuanjames/graph-based-nn

Graph Convolutional Networks (GCNs)

yuanjames/NERC_Soil

yuanjames/neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

yuanjames/pygcn

Graph Convolutional Networks in PyTorch

yuanjames/SchNet

SchNet - a deep learning architecture for quantum chemistry

yuanjames/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

yuanjames/yuanjames.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics