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100-days-of-ml-code

100 Days of ML Coding

awesome-deep-learning-papers

The most cited deep learning papers

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bgrl

Open source demo for the paper Behavior-Guided Reinforcement Learning

blockchain

A simple Blockchain in Python

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coursera-machine-learning-stanford

Machine learning-Stanford University

coursera-mathematics-for-ml

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

deep-portfolio-theory

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deep-reinforcement-learning-in-trading

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

free-science-books

Inspired by free-programming-books, here's free-science-books

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

learnquantum

Repo of resources to help learn about quantum computing.

libbitcoin-system

Bitcoin Cross-Platform C++ Development Toolkit

logistic-regression

machine-learning-asset-management

Machine Learning in Asset Management

machine-learning-course

:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

machine_learning_economics

Machine Learning for Economics

machinelearninginfinance

mathematics-for-machine-learning-cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

ml-stanford-coursera

Exercises submitted to the Machine Learning course by Stanford done through Coursera

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

octave

my octave exercises for 2011 stanford machine learning class, posted after the due date of course

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-books