drpdr

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

automlbenchmark

awesome-podcasts

Collection of awesome podcasts

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

sparkifydb-datawarehouse

Project 3 in Udacity Data Engineering Nanodegree

awesome-testing

A curated list of testing resources

Awesome-WSL

Awesome list dedicated to Windows Subsystem for Linux

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-papers-browser

Browse Scientific Articles about Covid-19 & SARS-CoV-2 with SciBERT-NLI 🦠

datasets

A collection of datasets ready to use with TensorFlow

deap

Distributed Evolutionary Algorithms in Python

DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dslp

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.

habitlab

Build better habits online! Tell HabitLab your goals, and it will determine the appropriate interventions via experimentation.

HoRNDIS

Android USB tethering driver for Mac OS X

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

keras-tuner

Hyperparameter tuning for humans

KeyMapper

📱 An Android app that maps any keyboard key or button combination to a custom action.

kopt

Hyper-parameter optimization for Keras

machine-learning-systems-design

A booklet on machine learning systems design with exercises

pyspark-example-project

Example project implementing best practices for PySpark ETL jobs and applications.

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn models

reverse-engineering-reference-manual

collage of reverse engineering topics that I find interesting

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

sparkifydb

Project 1 in Udacity Data Engineering Nanodegree

talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.