322 Open source projects that are alternatives of or similar to Acer

🔥🌟《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!

Deep reinforcement learning for recommendation system

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.

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Imitation learning algorithms

Noisy Networks for Exploration

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Unity Machine Learning Agents Toolkit

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

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。

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for 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.

An advanced program in Machine Learning and Deep Learning

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

PyTorch Implementation of Neural Episodic Control (NEC)

A reinforcement learning package for Julia

Malmo Collaborative AI Challenge - Team Pig Catcher

Teach a Quadcopter How to Fly!

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

An OpenAI gym wrapper for CARLA simulator

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

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

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

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.

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

CSCI 599 deep learning and its applications final project

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

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

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

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

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

A deep reinforcement learning bot that plays tetris

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Summaries of machine learning papers

Reinforcement learning environments with musculoskeletal models

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

TensorFlow and Deep Learning Tutorials

A high-performance Atari A3C agent in 180 lines of PyTorch

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

🤖 Implements of Reinforcement Learning algorithms.

Trax — Deep Learning with Clear Code and Speed

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

Highly Modular and Scalable Reinforcement Learning

Modularized Implementation of Deep RL Algorithms in PyTorch

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).

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

PyTorch implementation of Soft Actor-Critic (SAC)

深度学习论文阅读路线图

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement