534 Open source projects that are alternatives of or similar to Malib

Framework for building algorithms based on FractalAI

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

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

🔬 A curated list of awesome machine learning strategies & tools in financial market.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

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

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

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Behavior Optimization and Learning for Robots

Actor-Critic Instance Segmentation (CVPR 2019)

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

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

The notes for Math, Machine Learning, Deep Learning and Research papers.

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

Implementing trajectory optimization on bipedal system

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.

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Gridworld environments for OpenAI gym.

Seoul AI Gym is a toolkit for developing AI algorithms.

Minimalistic gridworld package for OpenAI Gym

OpenAI Gym environments using DART

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.

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

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

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

Implementation of q-learning using TensorFlow

Implementation of the Deep Q-learning algorithm to solve MDPs

Predict/log/learn/update reinforcement learning loop

For deep RL and the future of AI.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

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

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Some notebooks

Using deep reinforcement learning to tackle the game 2048.

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

Conversational AI Reading Materials

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

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

Open source collection of Reinforcement Learning Environments.

An OpenAI Gym Env for Panda

Efficient Batched Reinforcement Learning in TensorFlow

Basic reinforcement learning implementation with tensorflow version 2.0

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

Some JavaScript works published as demos, mostly ML or DS

Essential Guide to keep up with AI/ML/DL/CV

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

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

Our NIPS 2017: Learning to Run source code

Tic Tac Toe Machine Learning

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

GPU Javascript Library for Machine Learning

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.