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100-days-of-data-science

100 Days of Data Science

2020-cbms-doubleu-net

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

ai-for-medical-diagnosis

This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

ai-for-medical-prognosis

This repo contains my assignment notebooks for the AI for Medicine Specialization course. The link to the course: AI for Medicine Specialization https://www.coursera.org/learn/ai-for-medical-prognosis

ai-in-medicine

List of useful resources for AI in medicine - datasets, companies, papers, etc

ai_in_medicine_clinical_imaging_classification

This is the code for "AI in Medicine " By Siraj Raval on Youtube

aims2020_visualrecognition

AIMS 2020, class on Visual Recognition

aind-dog-project

Classifying Dog Breeds Using CNNs and PyTorch (Udacity AI Nanodegree, Project 5)

ammi-2020-bordes-deep-nlp

Lectures and tutorials for the Deep Natural Language Processing class of the African Master's in Machine Intelligence given by Antoine Bordes

ammi-aims-ghana

ammi-fairness-and-privacy

AMMI Course on Fairness and Privacy in Machine Learning

arima

audio-transcriber-streamlit-hackathon

awesome-mlops

A curated list of references for MLOps

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

azurechestxray

Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

botchata

bott

brain-tumor-segmentation-3d-unet-cnn

Brain tumor segmentation using a 3D UNet CNN

brain-tumor-segmentation-unet

Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

capstoneaisc

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

cat-and-dog-classification

In this project I used CNN model to perform binary classification on the dog and cat dataset.

catalyst

Accelerated DL R&D

cellpose

a generalist algorithm for cellular segmentation

chatbot

chexnet

A pytorch reimplementation of CheXNet

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images