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autokeras

AutoML library for deep learning

awesome-python

A curated list of awesome Python frameworks, libraries and software. Inspired by awesome-php.

brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

click-boilerplate

Boilerplate project for creating sophisticated command line applications using the Click library in Python

ct_bet

Robust Brain Extraction Tool for CT Head Images

datasharing

The Leek group guide to data sharing

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

django_tc

Django app for TC

esrgan-tf2

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

facets

Visualizations for machine learning datasets

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

fully_convolutional_network

Building, training and deploying a fully convolutional neural network in TensorFlow

galaxy

Data intensive science for everyone.

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

genomics_utils

Utilities for genomics and NGS data analysis

gmelloni.github.io

My Blog

gsoc

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

keras-cloud-ml-engine

Adventures using keras on Google's Cloud ML Engine

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

perceptualsimilarity

LPIPS metric. pip install lpips

picai_labels

Annotations for the PI-CAI Challenge: Public Training and Development Dataset

practicum

precisiontrialdrawer

A set of tools to help bioinformaticians, clinicians and biostatisticians to design, analyze and finalize a custom gene panel for clinical trial in cancer genomics.