1280 Open source projects that are alternatives of or similar to Deep Cfr

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Repo for the Deep Reinforcement Learning Nanodegree program

A library of reinforcement learning components and agents

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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.

🧑‍🏫 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, ... 🧠

Mastering Atari with Discrete World Models

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

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

An open source framework for research in Embodied-AI from AI2.

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

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

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Train an RL agent to localize actively (PyTorch)

Accelerated deep learning R&D

RLgraph: Modular computation graphs for deep reinforcement learning

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

List of articles related to deep learning applied to music

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

TensorFlow and Deep Learning Tutorials

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

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Research code need not be ugly.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

Machine learning and data science blog.

YerevaNN blog

Machine Learning notebooks for refreshing concepts.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Testbed for deep reinforcement learning

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

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

A repository of state-of-the-art deep learning methods in computer vision

How to use TensorLayer

Grokking Deep Reinforcement Learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Deep Reinforcement Learning for Keras.

Gibson Environments: Real-World Perception for Embodied Agents

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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

Monthly Series - Top 10 Machine Learning Articles

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

Machine learning, in numpy

Unity Machine Learning Agents Toolkit

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

Deep Learning for Julia

Julia port of the Python autograd package.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

SEO python scraper to extract data from major searchengine result pages. Extract data like url, title, snippet, richsnippet and the type from searchresults for given keywords. Detect Ads or make automated screenshots. You can also fetch text content of urls provided in searchresults or by your own. It's usefull for SEO and business related research tasks.

Studying Reinforcement Learning Guide

A PyTorch implementation of Rainbow DQN agent

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost.

Chess reinforcement learning by AlphaGo Zero methods.