ZY Qin's repositories
qinlab
Sourcecode of Zhenyue Qin's personal website.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Angular-Skeleton-Encoding
Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
Implementation-MolGAN-PyTorch
PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
Training-Progress-Email-Notifier
This software automatically sends you emails to notify you of the latest progress of your deep learning programs.
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
G-SchNet
G-SchNet - a generative model for 3d molecular structures
Research-Softmax-with-Mutual-Information
Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
GraphScoreMatching
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
MolGAN
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
CondGen
Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
constrained-graph-variational-autoencoder
Sample code for Constrained Graph Variational Autoencoders
pytorch-CAM
Class Activation Mapping written in PyTorch.
DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
VAE-GMVAE
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
swd
unsupervised video and image generation
VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
ExtremeNet
Bottom-up Object Detection by Grouping Extreme and Center Points
M2Det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
ccm-aae
Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)