XiaohanChen97
Interested in machine learning, deep learning and reinforcement learning.
TongjiShanghai
XiaohanChen97's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
jlevy/the-art-of-command-line
Master the command line, in one page
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
azl397985856/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
AobingJava/JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
qianguyihao/Web
千古前端图文教程,超详细的前端入门到进阶知识库。从零开始学前端,做一名精致优雅的前端工程师。
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
OUCMachineLearning/OUCML
b3log/pipe
🎷 一款小而美的博客平台,专为程序员设计。
rougier/matplotlib-tutorial
Matplotlib tutorial for beginner
qqiang00/Reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
tensorlayer/RLzoo
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
calico/basenji
Sequential regulatory activity predictions with deep convolutional neural networks.
jmzeng1314/tcga_example
theislab/scgen
Single cell perturbation prediction
tinyzqh/awesome-reinforcement-learning
Learning Resources And Links Of Reinforcement Learning (updating)
21cnbao/process-courses
PROCESS
FrankWork/acnn
Relation Classification via Multi-Level Attention CNNs
sangjianshun/Master-School
study
cole-trapnell-lab/sci-plex
repository containing analysis scripts and auxiliary files
harvardnlp/regulatory-prediction
Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology
rampasek/DrVAE
Drug Response Variational Autoencoder
henrytomsf/ReinforcementLearning
Implementation of deep deterministic policy gradient with Wolpertinger