6758 Open source projects that are alternatives of or similar to Mathy

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Learning to trade under the reinforcement learning framework

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Stock Trading Bot using Deep Q-Learning

Multiple implementations for abstractive text summurization , using google colab

Reinforcement Learning for Portfolio Management

Ipython notebooks for math and finance tutorials

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Some notebooks

我的强化学习笔记和学习材料📖 still updating ... ...

Applying Reinforcement Learning in Quantitative Trading

RAD: Reinforcement Learning with Augmented Data

Repository for most of the code from my YouTube channel

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Paper reading notes on Deep Learning and Machine Learning

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Quiz & Assignment of Coursera

Solutions of Reinforcement Learning, An Introduction

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Reinforcement Learning Workshop for Data Science BKK

Machine Learning notebooks for refreshing concepts.

Reinforcement learning with A* and a deep heuristic

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

DrQ: Data regularized Q

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

中国象棋alpha zero程序

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Trading with recurrent actor-critic reinforcement learning

Implementation of Meta-RL A3C algorithm

Grokking Deep Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Open Machine Learning course at MIPT

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A course in reinforcement learning in the wild

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

backtrader with DRL ( Deep Reinforcement Learning)

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Quiz & Assignment of Coursera

My Blog

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