zeyuyun1

DeepFaceLive

Real-time face swap for PC streaming or video calls

codimd

CodiMD - Realtime collaborative markdown notes on all platforms.

papers

Summaries of machine learning papers

mmflow

OpenMMLab optical flow toolbox and benchmark

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch_block_sparse

Fast Block Sparse Matrices for Pytorch

awesome-video-stabilization

A curated list of video stabilization methods

smalldiffusion

Simple and readable code for training and sampling from diffusion models

DDPAE-video-prediction

Learning to Decompose and Disentangle Representations for Video Prediction, NIPS 2018

SemDeDup

Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically similar, but not exactly identical).

Image-Quilting-for-Texture-Synthesis

An implementation of the Image Quilting for Texture Synthesis algorithm by Alexei A. Efros and Willian T. Freeman

Dragonfly

awesome-real-world-adversarial-examples

😎 A curated list of awesome real-world adversarial examples resources

ApproximateConvolutionalSparseCoding

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

Online-Dictionary-Learning-demo

VQVAE-Pytorch

This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE

ml-ista

Demo for Multi-Layer ISTA and Multi-Layer FISTA algorithms for convolutional neural networks, as described in J. Sulam, A. Aberdam, A. Beck, M. Elad, (2018). On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. arXiv preprint:1806.00701

musc

Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2022.

simplicial-embeddings

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

TextureSynthesis

Implementation of A. Efros and T. Leung, 'Texture Synthesis by Non-parametric Sampling' (1999)

motionAmp

implementation of a phase-based video motion processing algorithm in python

phase-video

Python (incomplete) re-implementation of SIGGRAPH 2013 paper “Phase based video motion processing”.

pb-Motion-Magnification

lca-pytorch

Sparse coding in PyTorch via the Locally Competitive Algorithm (LCA)

sparse-coding

PyTorch implementation, with CUDA support, of the sparse coding algorithm based on the paper by Olshausen and Field (1997).

hierarchical-sparse-coding

Hierarchical sparse coding using greedy matching pursuit.

latent_space_oddity_MVA

Incorporate Riemannian Geometry into the latent space of Variational Autoencoders

kyoto_natim

Kyoto Natural Image Dataset

Phase-Based-Motion-Magnification

Python implementation of " Phase based motion processing " described in 2013 SIGGRAPH paper by Wadhwa, Rubinstein, Durand, and Freeman.

moving_mnist_generator

Generating Moving MNIST GIFs with captions. Credits to Tencia(https://gist.github.com/tencia/afb129122a64bde3bd0c) and Prateek(https://gist.github.com/praateekmahajan/b42ef0d295f528c986e2b3a0b31ec1fe)