322 Open source projects that are alternatives of or similar to Spinning Up Basic

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Summaries of machine learning papers

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

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.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

A reinforcement learning package for Julia

A curated list of awesome Deep Reinforcement Learning resources.

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

PyTorch implementation of Soft Actor-Critic (SAC)

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Repository for codes of 'Deep Reinforcement Learning'

Noisy Networks for Exploration

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

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.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

An OpenAI gym wrapper for CARLA simulator

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research