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homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

lifelines

Survival analysis in Python

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

max-breast-cancer-mitosis-detector

Detect whether a mitosis exists in an image of breast cancer tumor cells

mitosis-detection

mitosis-detection-1

Deeply Learnt Models :p

mitosis-detection-2

mitosis-detection-web-app

ml-dl-rl_codes

This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

models

Models built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

monuseg

This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.

mrqy

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

napari

napari: a fast, interactive, multi-dimensional image viewer for python

nmi-wsi-diagnosis

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

nuclei-segmentation

This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tissue sections using data from our MoNuSeg Challenge.

openslide-matlab

A MATLAB library providing bindings to the C library OpenSlide (https://github.com/openslide/openslide) used for reading whole-slide images.

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

public

python3-cookbook

《Python Cookbook》 3rd Edition Translation

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorchdigitalpathology

An implementation of Unet for pytorch designed for digital pathology segmentation

quickannotator

An open-source digital pathology based rapid image annotation tool

quickreviewer

Allows for multiple people to quickly review images and provide categorical feedback