Curated list of project-based tutorials

readme

Deep Learning Papers on Medical Image Analysis

Semantic Segmentation Architectures Implemented in PyTorch

Visualisation tool for CNNs in pytorch

Minimal PyTorch implementation of YOLOv3

Latex code for making neural networks diagrams

An implementation of Unet for pytorch designed for digital pathology segmentation

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Code from Michael Nielsen book Neural Networks and Deep Learning ported to C++.

Mask RCNN in TensorFlow

Models and examples built with TensorFlow

Program for the analysis and visualization of whole-slide images in digital pathology

Data sets for machine learning in Python

create "Karpathy's style" 2d images out of your image embeddings

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

TensorFlow Tutorials with YouTube Videos

A clear, concise, simple yet powerful and efficient API for deep learning.

Open Source Computer Vision Library

C library for reading virtual slide images

A fast image processing library with low memory needs.

A "batteries-included" distribution of ImageJ 🔋

Open scientific N-dimensional image processing 🔬 🎇

QuPath - Open-source bioimage analysis for research

Deep Learning for humans

Caffe: a fast open framework for deep learning.

An Open Source Machine Learning Framework for Everyone

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave