MathsShen

academic-kickstart

Beta-VAE

Pytorch implementation of β-VAE

CD-CNN

Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking — IEEE ICME18 Platinum Best Paper

cdp

Code for our ECCV 2018 work.

CVAE-GAN-zoos-PyTorch-Beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

DaSiamRPNWithOfflineTraining

iFlow

Identifying through Flows for Recovering Latent Representations, accepted to ICLR2020

NeuralPCA

Neural PCA accepted to IJCAI 2022

NumpyImplementationOfNNFromTheoreticalPerspective

A Numpy Implementation of Neural Networks from A Theoretical Perspective

SCF

Spherical Confidence Learning for Face Recognition, accepted to CVPR2021 (Oral).

MathsShen/SCF

Spherical Confidence Learning for Face Recognition, accepted to CVPR2021 (Oral).

MathsShen/CD-CNN

Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking — IEEE ICME18 Platinum Best Paper

MathsShen/iFlow

Identifying through Flows for Recovering Latent Representations, accepted to ICLR2020

MathsShen/NeuralPCA

Neural PCA accepted to IJCAI 2022

MathsShen/academic-kickstart

MathsShen/CVAE-GAN-zoos-PyTorch-Beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

MathsShen/energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

MathsShen/flows_ood

MathsShen/GIN

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

MathsShen/Glow-PyTorch

Simple, extendable, easy to understand Glow implementation in PyTorch

MathsShen/guided-diffusion

MathsShen/hpn

Hyperspherical Prototype Networks

MathsShen/LieNet

GitHub repository for "Deep Learning on Lie Groups for Skeleton-based Action Recognition", CVPR 2017.

MathsShen/Likelihood-Regret

Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

MathsShen/LowRankGAN

[NeurIPS 2021] Low-Rank Subspaces in GANs

MathsShen/MathsShen

MathsShen/mathsshen.github.io

MathsShen/nested_dropout_flows

Code for Ordering Dimensions with Nested Dropout Normalizing Flows paper

MathsShen/nflows

Normalizing flows in PyTorch

MathsShen/nsf

Code for Neural Spline Flows paper

MathsShen/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

MathsShen/pytorch-insightface

Pretrained insightface models ported to pytorch

MathsShen/residual-flows

code for "Residual Flows for Invertible Generative Modeling".

MathsShen/s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

MathsShen/score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

MathsShen/ShapeGF

Learning Gradient Fields for Shape Generation

MathsShen/sliced_score_matching

Code for reproducing results in the sliced score matching paper (UAI 2019)

MathsShen/tensorflow-manopt

A library for optimization on Riemannian manifolds

MathsShen/VAETutorial

MathsShen/Variational-Inference-with-Normalizing-Flows-1

Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch