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100-days-of-ml-code

100-Days-Of-ML-Code中文版

98wubi

the 98wubi tables for RIME

aaa2

architect-awesome

后端架构师技术图谱

autoencoder-for-the-physical-layer

Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-tensorflow-chinese

【干货】史上最全的Tensorflow学习资源汇总

chat

Java NIO+多线程实现聊天室

chinalistv2.0_backup

clrs

Some exercises and problems in Introduction to Algorithms 3rd edition.

coding-interviews

剑指Offer

deep-learning-for-the-physical-layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

deepcom

a CNN based end to end communication systems

dnn_detection_via_keras

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

dnncomm

Deep Neural Network for Wirless Communication

exercise

exercise for nndl

hellogithub

:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

machine_learning_study_path

机器学习过程中所看的书，视频和源码

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

maozedonganthology

***选集

mit-linear-algebra-notes

Notes for MIT-Linear-Algebra

ofdm_dnn

onjava8

《On Java 8》中文版，又名《Java编程**》 第5版

rtn-dl-for-physical-layer

radio-transformer-networks

sequential-rnn-decoder

Sequential RNN Decoder Code for 'Communication Algorithms via Deep Learning' ICLR paper

shadowsocks-windows

If you want to keep a secret, you must also hide it from yourself.

spring-in-action-5-samples

Home for example code from Spring in Action 5.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.