Aleksey Ushakov's repositories
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
pix2pixHD
Some improvements for the original source code
python-simple-rest-client
Simple REST client for python 3.7+
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
onnx
Open standard for machine learning interoperability
coremltools
Core ML Community Tools.
ar-cutpaste
Cut and paste your surroundings using AR
facemesh.pytorch
This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)
ImageSegmentationML
Using CoreML and Vision to do image segmentation and change the background color of an image.
UhttBarcodeReference
Universe-HTT barcode reference
deepfashion_ninecat
Extended Annotations of DeepFashion Images for Fine-grained Recognition
inferno
A utility library around PyTorch
artificio
Deep Learning Computer Vision Algorithms for Real-World Use
reddit-dataset
Dataset of threads and comments from reddit
BrainBox
BrainBox is a web application that let's you annotate and segment 3D brain imaging data in real time, collaboratively.
braindr
Its like Tinder, for Brains!
lda2vec-pytorch
Topic modeling with word vectors
keras-non-local-nets
Keras implementation of Non-local Neural Networks
cardio
CardIO is a library for data science research of heart signals
leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
DSB2017-1
The solution of team 'grt123' in DSB2017
kaggle_ndsb2017
Kaggle datascience bowl 2017