Xiang Lei's starred repositories
TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
MyTransformer_pytorch
关于Transformer模型的最简洁pytorch实现，包含详细注释
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
Time-Series-Library
A Library for Advanced Deep Time Series Models.
Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language| 使用C++开发，基于跳表实现的轻量级键值数据库🔥🔥 🚀
algorithm-structure
2021年最新总结 500个常用数据结构，算法，算法导论，面试常用，大厂高级工程师整理总结
sql-mother
免费的闯关式 SQL 自学教程网站，从 0 到 1 带大家掌握常用 SQL 语法，纯前端实现，简单易学~
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
GitHub-English-Top-Charts
Help you discover excellent English projects and get rid of disturbing by other spoken language.
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
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。
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
ShapleyValuesVAEAC
Computing Shapley values using VAEAC
awesome-cs-books
🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
JavaCollection
Java开源项目之「自学编程之路」：学习指南+面试指南+资源分享+技术文章
autoencoder_practice
AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
tennessee-eastman-challenge
Tennessee Eastman Challenge Problem Archive
contractive_autoencoders
Contractive auto-encoders implementation in Tensorflow
Autoencoders
Implementation of denoise, sparse, contractive, variational autoencoder (VAE) and Beta-VAE in Tensorflow 2.0.
Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset