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py_ds_ml_bootcamp

Udemy Jose Portilla Python for Data Science and Machine Learning Bootcamp

py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

pytorch-deep-learning-1

Deep Learning (with PyTorch)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-unet

Tunable U-Net implementation in PyTorch

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

qsmxt

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

rebel

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rid-covid

Image-based COVID-19 diagnosis. Links to software, data, and other resources.

rirewebsite

Website sources for The Retrospective Image Registration Evaluation Project (RIRE)

sa-gan

SA-GAN: Stain Acclimation Generative Adversarial Networks for Histopathology Image Analysis

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

scpp-for-nuclei-segmentation

A python code for segmentation of nuclei for kidney and breast histopathology images

scpp-for-nuclei-segmentation-from-histopathology-images

SCPP for Nuclei Segmentation From Histopathology Images

sem-5

simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

simplenn

A fully connected neural network classifier with arbitrary number of hidden layers, different activation functions, etc..

sinet-v2

Concealed Object Detection, IEEE TPAMI 2021 (CVPR2020 extended version).

skin_lesion_detection_deep_learning

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

smart-ct-scan_based-covid19_virus_detector

An image based Xray attempt at coronavirus2019 (covid19) diagnosis.

spcnet

TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".

sr-metric

Learning a No-Reference Quality Metric for Single-Image Super-Rolution

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

ssltransformerrs

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award

staining-normalization

Staining unmixing and normalization for histopathology images.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

submitty

Homework Submission, Automated Grading, and TA grading system.

survey_wsl_histology