6488 Open source projects that are alternatives of or similar to Rl_learn

Reinforcement Learning for Portfolio Management

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

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

Learning numerical computing with notebooks for all ages.

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..

Learning human driver models from NGSIM data with imitation learning.

Reinforcement Learning Workshop for Data Science BKK

Solutions of Reinforcement Learning, An Introduction

MAGNet: Multi-agents control using Graph Neural Networks

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

A repo for data science related questions and answers

This is Andrew NG Coursera Handwritten Notes.

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

Applying Reinforcement Learning in Quantitative Trading

DrQ: Data regularized Q

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Trading with recurrent actor-critic reinforcement learning

Grokking Deep Reinforcement Learning

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

RAD: Reinforcement Learning with Augmented Data

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Deep Reinforcement Learning for de-novo Drug Design

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

🧑‍🏫 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, ... 🧠

18.335 - Introduction to Numerical Methods course

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Your new Telegram buddy powered by transformers

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

TensorFlow Tutorials

Documenting my python implementation of Andrew Ng's Machine Learning course

Develop production ready deep learning code, deploy it and scale it

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Data and code behind the articles and graphics at FiveThirtyEight

A collection of various deep learning architectures, models, and tips

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Explains nlp building blocks in a simple manner.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Code for our paper "Hamiltonian Neural Networks"

NeMo: a toolkit for conversational AI

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Code and Examples for Relevant Search

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

General Assembly's Data Science course in Washington, DC

The accompanying files for the book 'Dataviz with Python and JavaScript'

Full Stack Data Science in Python

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

declarative and reproducible Jupyter environments - powered by Nix

my blog

Implementations of Reinforcement Learning and Planning algorithms

Structured Inference Networks for Nonlinear State Space Models

A fast Evolution Strategy implementation in Python

Deep Learning examples with Keras.

Python version of Quantiacs toolbox and sample trading strategies

Simple Implementation of many GAN models with PyTorch.