mitscha's Stars
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
richzhang/PerceptualSimilarity
LPIPS metric. pip install lpips
google-research/scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
google-research/big_vision
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
google/compare_gan
Compare GAN code.
apple/ml-4m
4M: Massively Multimodal Masked Modeling
google-research/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
Justin-Tan/generative-compression
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
fab-jul/L3C-PyTorch
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
vasiloglou/mltrain-nips-2017
This repository contains all the material for the MLTrain NIPS workshop
fab-jul/imgcomp-cvpr
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
yruffiner/ecg-classification
mitscha/strassennets
Deep learning with a multiplication budget
mitscha/dplc
Deep generative models for distribution-preserving lossy compression
fab-jul/arxiv_prep
mitscha/big_vision
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.