Deep Learning Examples

Pen and paper exercises in machine learning

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

3D VQ-VAE-2 for high-resolution CT scan synthesis

Approaching (Almost) Any Machine Learning Problem

code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation

Open source tech interview questions

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

Information about the medical imaging community

Code to convert from a dicomp10 file to dicomweb format (json metadata + frames + bulkdata)

A collection of 1,000+ popular emoji for Slack and Discord

JS/WASM build of libjxl (JPEG-XL)

Materials for the 2021 MONAI Bootcamp

[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

A command line tool to generate static WADO metadata and bulkdata files

Hydra is a framework for elegantly configuring complex applications

An MPR image loader that reconstructs coronal and sagittal images from axial images.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Machine Learning algorithm implementations from scratch.

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

System design patterns for machine learning

A README template for anyone to copy and use.

Segmentation models with pretrained backbones. PyTorch.

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Chest CT reconstruction from CXR

Develop production ready deep learning code, deploy it and scale it