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6.s081-all-in-one

6.S081课程全记录，包括课程使用的书籍、论文、实验要求的中文翻译，以及实验过程记录

awesome-interpretable-machine-learning

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

chatserver

可以工作在nginx tcp负载均衡环境中的集群聊天服务器和客户端源码 基于muduo实现

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cs-self-learning

计算机自学指南

deeplearning_lhy21_notes

深度学习 李宏毅 2021 学习笔记

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

earth-forecasting-transformer

Official implementation of Earthformer

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gct

Gated Channel Transformation for Visual Recognition (CVPR 2020)

global-second-order-pooling-convolutional-networks

Global Second-order Pooling Convolutional Networks (cvpr2019 GSoP)

golang-7days-golang

7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列

grpc-todolist

gin+grpc+gorm+etcd+mysql 的备忘录功能。Gin作为HTTP的web框架，gRPC作为RPC框架，ETCD作为服务注册与发现。

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

hello_hi

This is my first resportiy on github

jrpc

JSON-RPC implementation in C++17

lark

Lark是一个开源的Golang IM服务端项目，具有高性能和可扩展等特性。采用微服务架构设计，支持集群和水平扩展，能够满足高并发业务需求，并实现了万人群消息的秒达。

leetcode-book

《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓

libco

libco is a coroutine library which is widely used in wechat back-end service. It has been running on tens of thousands of machines since 2013.

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

onix

Onix - 操作系统实现

operatingsystemindepth

清华版视频学习 - 深入理解操作系统

path_planning

proceduralcitygeneration

project-based-learning

Curated list of project-based tutorials

pytorch-grad-cam

Advanced AI Explainability for computer vision. Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples and applications for classification, object detection, segmentation, explaining image similarity and more.

radar-echo-prediction-using-hprnn-in-taiwan-

saconvsltm

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.