🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Solutions of Reinforcement Learning, An Introduction

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.

My personal practice to implement algorithms of RL from scratch.

A complete computer science study plan to become a software engineer.

Layer-wise Relevance Propagation (LRP) for LSTMs.

Tensorflow 2.1 implementation of LRP for LSTMs

Intelligently expand and create contractions in text leveraging grammar checking and Word Mover's Distance.

Python wrapper for LanguageTool grammar checker

Fixes contractions such as `you're` to `you are`

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

VIP cheatsheets for Stanford's CS 230 Deep Learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Messaging library for Python.

Distributed Task Queue (development branch)