Stephen's starred repositories
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
argmax_flows
Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
made-pytorch
A PyTorch implementation of MADE (Masked Autoencoder Distribution Estimation)
x-deeplearning
An industrial deep learning framework for high-dimension sparse data
Taobao-advertising_CTR
通过淘宝用户点击广告的数据集进行用户广告的点击预测,数据集共4个
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
trustworthyAI
Trustworthy AI related projects
scikit-feature
open-source feature selection repository in python
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
VAE-PyTorch
Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch