adrianplattner

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

pandas

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

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

awesome-rl

Reinforcement learning resources curated

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

faust

Python Stream Processing

jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

nteract

📘 The interactive computing suite for you! ✨

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

kaggle-web-traffic

1st place solution

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

lifetimes

Lifetime value in Python

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

burner-email-providers

A list of temporary email providers

Coursera-Machine-Learning

Coursera Machine Learning - Python code

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

seqlearn

Sequence learning toolkit for Python

instacart-basket-prediction

Kaggle | Instacart Market Basket Analysis🥕🥉

meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

muniverse

µniverse: RL environments for HTML5 games

google-interview-university

A complete daily plan for studying to become a Google software engineer.

unintended-ml-bias-analysis

styx

"The path to execution", Styx is a service that schedules batch data processing jobs in Docker containers on Kubernetes.

sift-python

Sift API (Python client)