Pinned Repositories
ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
Algorithms
The implementation of the algorithms
Angular-Skeleton-Encoding
Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
baseline
Strong Deep-Learning Baseline algorithms for NLP
Implementation-MolGAN-PyTorch
PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
Programmable-Spreadsheet-Application
pytorch-cifar
95.16% on CIFAR10 with PyTorch
Research-Modularity
Research-Softmax-with-Mutual-Information
Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
Training-Progress-Email-Notifier
This software automatically sends you emails to notify you of the latest progress of your deep learning programs.
kfzyqin's Repositories
kfzyqin/Research-Softmax-with-Mutual-Information
Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
kfzyqin/Implementation-MolGAN-PyTorch
PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
kfzyqin/Angular-Skeleton-Encoding
Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
kfzyqin/Training-Progress-Email-Notifier
This software automatically sends you emails to notify you of the latest progress of your deep learning programs.
kfzyqin/ADL
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
kfzyqin/Research-Modularity
kfzyqin/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.
kfzyqin/ccm-aae
Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)
kfzyqin/CondGen
Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.
kfzyqin/constrained-graph-variational-autoencoder
Sample code for Constrained Graph Variational Autoencoders
kfzyqin/DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
kfzyqin/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
kfzyqin/ExtremeNet
Bottom-up Object Detection by Grouping Extreme and Center Points
kfzyqin/G-SchNet
G-SchNet - a generative model for 3d molecular structures
kfzyqin/GraphScoreMatching
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
kfzyqin/hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
kfzyqin/kypt_transformer
kfzyqin/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
kfzyqin/M2Det
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
kfzyqin/MolGAN
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
kfzyqin/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
kfzyqin/PS-GNN
kfzyqin/PSGNN
kfzyqin/pytorch-CAM
Class Activation Mapping written in PyTorch.
kfzyqin/qinlab
Sourcecode of Zhenyue Qin's personal website.
kfzyqin/swd
unsupervised video and image generation
kfzyqin/TextFlow
kfzyqin/TwoStageVAE
kfzyqin/VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
kfzyqin/VAE-GMVAE
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures