Thai-Hoang Pham's repositories
awesome-cytodata
A curated list of awesome cytodata resources
ccvae_pytorch
Pytorch codebase for Capturing label characteristics in VAEs
Domain-generalization
All about domain generalization
drugEmbedding
Hierarchical Embedding for Drugs
fairness_benchmark
Benchmarking fairness methods
GNN-PowerfulGNN
How Powerful are Graph Neural Networks?
GraphINVENT
Graph neural networks for molecular design.
MolGen-BiAAE
Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
MolGen-ChemVAE
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
MolGen-GraphRNN
Graph Generative Model (Pytorch implementation)
MolGen-JTVAE
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
MolGen-MoFlow
MoFlow: an invertible flow model for generating molecular graphs
MolGen-Moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
NormalizingFlow-Glow
Pytorch Implementation of OpenAI's GLOW
NormalizingFlow-GraphNVP
Implementation of GraphNVP(https://arxiv.org/abs/1905.11600) using PyTorch.
NormalizingFlow-HyperbolicNF
ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
pth1993.github.io
Personal website
Survey-GAN
A list of all named GANs!
Survey-ImageCaptioning
A curated list of image captioning and related area resources. :-)
Survey-MultitaskLearning
Awesome Multitask Learning Resources
Survey-Uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.