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

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

A gym environment for Stuart Armstrong's model of a treacherous turn.

Framework for building algorithms based on FractalAI

Codebase for the Summary Loop paper at ACL2020

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

Actor-Critic Instance Segmentation (CVPR 2019)

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

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

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

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

backtrader with DRL ( Deep Reinforcement Learning)

Behavior Optimization and Learning for Robots

Seoul AI Gym is a toolkit for developing AI algorithms.

Gridworld environments for OpenAI gym.

OpenAI Gym environments using DART

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

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Implementing trajectory optimization on bipedal system

Reinforcement Learning Assignment: Easy21

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

Simulation of spiking neural networks (SNNs) using PyTorch.

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.

ChainerRL is a deep reinforcement learning library built on top of Chainer.

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.

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

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

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

An OpenAI Gym Env for Panda

Open source collection of Reinforcement Learning Environments.

Efficient Batched Reinforcement Learning in TensorFlow

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

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

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

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

Implementation of the Deep Q-learning algorithm to solve MDPs

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

Basic reinforcement learning implementation with tensorflow version 2.0

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

For deep RL and the future of AI.

Reinforcement Learning Algorithms

Predict/log/learn/update reinforcement learning loop

Flappy Bird hack using Reinforcement Learning

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

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

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

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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.

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

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

The Machine Learning Toybox for testing the behavior of autonomous agents.

Using deep reinforcement learning to tackle the game 2048.

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

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

Conversational AI Reading Materials

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

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

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

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

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