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albumentations

fast image augmentation library and easy to use wrapper around other libraries

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

bmi-project

machine learning model that predicts body mass index from face images

bmikeras

This is a python implementation of the paper "Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media".

chexseg

Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"

deepdrr

Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606

deepknee

Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

kneel

Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

kneelocalizer

Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.

libauc

An end-to-end machine learning library to directly optimize AUC (AUROC, AUPRC) loss

linknet

machine-learning-yearning

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mlcites

This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to collect this data.

mmdetection

Open MMLab Detection Toolbox and Benchmark

multi-task-image-classification

Multi-task learning for image classification implemented in PyTorch.

netron

Visualizer for neural network, deep learning and machine learning models

nni

An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.

nnunet

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyimsegm

Image segmentation - general superpixel segmentation & center detection & region growing

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gpu-benchmark

Using the famous cnn model in Pytorch, we run benchmarks on various gpu.

pytorch_segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

radam

On the Variance of the Adaptive Learning Rate and Beyond