Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Machine Learning Uiuc
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
Deep Rl Trading
playing idealized trading games with deep reinforcement learning
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Actor-critic with experience replay
Modularized Implementation of Deep RL Algorithms in PyTorch
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 A2c Ppo Acktr Gail
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。
Summaries of machine learning papers
Atari Model Zoo
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
Awesome Deep Rl
A curated list of awesome Deep Reinforcement Learning resources.
"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
PyTorch implementation of Soft Actor-Critic (SAC)
Machine Learning Is All You Need
🔥🌟《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'
Deep Reinforcement Learning Algorithms
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.
Accel Brain Code
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
Spinning Up Basic
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
Awesome Deep Neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Go Bot Drl
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A high-performance Atari A3C agent in 180 lines of PyTorch
An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
Code for "Gradient Surgery for Multi-Task Learning"
An offline deep reinforcement learning library
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
Machine Learning And Data Science
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.
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Attention-guided CNN for image denoising(Neural Networks,2020)
Unity Machine Learning Agents Toolkit
Reinforcement learning with tensorflow 2 keras
PyTorch Implementation of Trust Region Policy Optimization (TRPO)
Deep Reinforcement Learning (DRL) agents applied to medical images