whubao Goto Github PK

followers: 0.0 following: 5.0 repos: 47.0 gists: 0.0

Type: User

whubao

Research

whubao's Projects

algorithms

Minimal examples of data structures and algorithms in Python

annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

deep-learning-drizzle

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

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

drl

Deep Reinforcement Learning

drl-1

Repository for codes of 'Deep Reinforcement Learning'

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gymrl

基于gym的pytorch深度强化学习(DRL)(PPO,DQN,SAC,DDPG,TD3等算法)

hands-on-graph-neural-networks-using-python

Hands-On Graph Neural Networks Using Python, published by Packt

hands-on-ml

https://hml.boyuai.com

hands-on-rl

https://hrl.boyuai.com/

how_to_search_and_read_a_paper

本文档适合于刚入学的硕士和博士(计算机专业最好，其他专业可参考)。

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

leedl-tutorial

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

machine-learning-notes-1

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mec_drl

Deep reinforcement learning for mobile edge computing

ml-agents

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 learning and imitation learning.

whubao Goto Github PK

whubao

whubao's Projects

Recommend Projects

Recommend Topics

Recommend Org