737 Open source projects that are alternatives of or similar to Reco Papers

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Sokoban environment for OpenAI Gym

GPU Javascript Library for Machine Learning

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Predict/log/learn/update reinforcement learning loop

Clone of OpenAI's Spinning Up in PyTorch

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Open source collection of Reinforcement Learning Environments.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Basic reinforcement learning implementation with tensorflow version 2.0

6th Solution for 2020-KDDCUP Debiasing Challenge

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

List of summer schools in machine learning + related fields across the globe

Julia code for the book Reinforcement Learning An Introduction

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

KDD17_FMG

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Framework for building algorithms based on FractalAI

A high-performance distributed training framework for Reinforcement Learning

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Towards A Standardized Tag Recommender Benchmarking Framework

Building recommenders with Elastic Graph!

Code for Java Deep Learning Cookbook

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

An OpenAI Gym Env for Panda

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

Efficient Batched Reinforcement Learning in TensorFlow

Master Thesis: Limit order placement with Reinforcement Learning

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

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🍊 👎 Add-on for Orange3 to support recommender systems.

Using RGB Image as Visual Input for Mapless Robot Navigation

OpenAI Gym environments using DART

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

An OpenAI-gym-like environment for Little Fighter 2

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

API to run VirtualHome, a Multi-Agent Household Simulator

Some of the ML and DL related reading materials, research papers that I've read

Collection of stats, modeling, and data science tools in Python and R.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"