6211 Open source projects that are alternatives of or similar to Tensorflow2 Deep Reinforcement Learning

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..

Grokking Deep Reinforcement Learning

DrQ: Data regularized Q

Teach a Quadcopter How to Fly!

A collection of materials to help you learn about deep learning

A course in reinforcement learning in the wild

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Repo for the Deep Reinforcement Learning Nanodegree program

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

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

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

CSCI 599 deep learning and its applications final project

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

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

RAD: Reinforcement Learning with Augmented Data

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Urban Informatics and Visualization (UC Berkeley CP255)

A Python package for exploring and analysing genetic variation data

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

Materials for PyCon 2017 presentation on optimizing Pandas code

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

Devenez Data-Scientist sur Le Wagon On Demand

Tutorial: Web scraping in Python with Beautiful Soup

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Materials for an online-course - "Practical XGBoost in Python"

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

How to do Unsupervised Clustering with Keras

Open Source Landmarking Library

Summaries of machine learning papers

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

A fast, extensible, transparent python library for backtesting quantitative strategies.

Tools, wrappers, etc... for data science with a concentration on text processing

CS198-96: Intro to Neurotechnology @ UC Berkeley

code for reading and processing Allen Institute for Brain Science data

Apache Spark (PySpark) Practice on Real Data

A python tutorial on bayesian modeling techniques (PyMC3)

Deploy AutoML as a service using Flask

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Ropsten public testnet PoW chain

Deep Reinforcement Learning for de-novo Drug Design

Build a CNN network to predict 3D bounding box of car from 2D image.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

A PyTorch implementation of GraphRel

These are my learning exercices from Coursera