medical-projects Goto Github PK

python_morbidostat

Control software for a morbidostat reactor based on arduino and python

pytorch-cyclegan

Intersession 2019- Deep Learning for Medical Image Analysis Class Project

pytorch-ecg-arrhythmia-classifier-cnn

pytorch-encoding

A CV toolkit for my papers.

pytorch-pneumonia-x-ray

Deep learning medical analysis of x-ray shots on pneumonia using PyTorch.

pytorch-scholarship-challenge

We've built this course as an introduction to deep learning. Deep learning is a field of machine learning utilizing massive neural networks, massive datasets, and accelerated computing on GPUs. Many of the advancements we've seen in AI recently are due to the power of deep learning. This revolution is impacting a wide range of industries already with applications such as personal voice assistants, medical imaging, automated vehicles, video game AI, and more. In this course, we'll be covering the concepts behind deep learning and how to build deep learning models using PyTorch. We've included a lot of hands-on exercises so by the end of the course, you'll be defining and training your own state-of-the-art deep learning models.

pytorchmedicalai

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

pytsetlinmachine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

pytsetlinmachine-1

pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

pyvhr

Python framework for Virtual Heart Rate

qa_match

Deep learning model for match medical QA

qst-cgan

Quantum state tomography with conditional generative adversarial networks

qst-nn

Classification and reconstruction of optical quantum states with deep neural networks

qtim_tutorials

Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.

quantumstatetomography

Hackathon project to employ quantum machine learning for state tomography.

radcap_project

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

randla-net-pytorch

PyTorch implementation of RandLA-Net

randomise.me

The Randomise Me Website

rbhl

rcwcf

Cost-Efficient Hierarchical Knowledge Extraction with Deep Reinforcement Learning

realistic-neural-talking-head-models

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

realtimesleepstaging

This repository is dedicated to real-time automation of sleep staging

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

records-research

relaynet

Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout

rellis-3d

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

reproduce-chexnet

Reproduce CheXNet

resector

Algorithm to simulate resection surgery on brain MRI scans.