#计算机科学#Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
翻译 - 从零开始的机器学习。机器学习模型和算法的裸露NumPy实现重点在于可访问性。旨在涵盖从线性回归到深度学习的所有内容。
#计算机科学#The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
翻译 - Unity机器学习代理工具包
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
翻译 - 来自Microsoft AI＆Research的基于Unreal Engine / Unity的自动驾驶汽车开源模拟器
#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
翻译 - 通过从这些令人兴奋的演讲中学习，可以深入学习深度学习，强化学习，机器学习，计算机视觉和自然语言学习！
#计算机科学#Open-source simulator for autonomous driving research.
翻译 - 用于自动驾驶研究的开源模拟器。
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
#计算机科学#Tutorials, assignments, and competitions for MIT Deep Learning related courses.
翻译 - 麻省理工学院深度学习相关课程的教程，作业和竞赛。
#计算机科学#(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
翻译 - （⌐■_■）-深度强化学习工具可用于WiFi穿网。
#计算机科学#Trax — Deep Learning with Clear Code and Speed
翻译 - Trax –您进阶深度学习的道路
#计算机科学#Lab Materials for MIT 6.S191: Introduction to Deep Learning
翻译 - MIT 6.S191的实验室材料：深度学习简介
#计算机科学#High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
#计算机科学#Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
翻译 - 使用深度强化学习（深度Q学习）的Flappy Bird hack。
#计算机科学#A course in reinforcement learning in the wild
Repo for the Deep Reinforcement Learning Nanodegree program
#计算机科学#Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
#计算机科学#This repo contains the Hugging Face Deep Reinforcement Learning Course.
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。
#计算机科学#A curated list of reinforcement learning with human feedback resources (continually updated)
#计算机科学#Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch