Pinned Repositories
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's Repositories
MathsShen/DaSiamRPNWithOfflineTraining
MathsShen/NumpyImplementationOfNNFromTheoreticalPerspective
A Numpy Implementation of Neural Networks from A Theoretical Perspective
MathsShen/Beta-VAE
Pytorch implementation of β-VAE
MathsShen/cdp
Code for our ECCV 2018 work.
MathsShen/DAGAN
DAGAN: Data Augmentation Generative Adversarial Networks
MathsShen/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
MathsShen/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
MathsShen/flowpp
Code for reproducing Flow ++ experiments
MathsShen/HD_LSTM
MathsShen/iVAE
VAEs and nonlinear ICA: a unifying framework
MathsShen/Matrix-Calculus
Matrix Calculus via Differentials, 矩阵求导方法
MathsShen/NAF
Experiments for the Neural Autoregressive Flows paper
MathsShen/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
MathsShen/PCN
Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
MathsShen/Probabilistic-Face-Embeddings
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
MathsShen/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
MathsShen/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
MathsShen/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
MathsShen/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
MathsShen/trfl
TensorFlow Reinforcement Learning
MathsShen/variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
MathsShen/VGGFace2-pytorch
PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'