lianlianyu's starred repositories
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
advanced-go-programming-book
:books: 《Go语言高级编程》开源图书,涵盖CGO、Go汇编语言、RPC实现、Protobuf插件实现、Web框架实现、分布式系统等高阶主题(完稿)
raft-zh_cn
Raft一致性算法论文的中文翻译
go-sqlmock
Sql mock driver for golang to test database interactions
distributed-computing
distributed_computing include mapreduce kvstore etc.
v2ray-core
A platform for building proxies to bypass network restrictions.
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
laya-snakes
snake game,仿贪吃蛇大作战游戏,AI
laya_lesson
内含laya官网游戏案例和棋牌游戏demo
beatserver
Beatserver, a periodic task scheduler for Django 🎵
channels-api
RESTful Websocket APIs with Django Rest Framework and Channels
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
tensorflow2.0-examples
Jupyter notebooks to help you started with tensorflow 2.0
TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
tf-seq2seq
Sequence to sequence learning using TensorFlow.
ChatLearner
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
just_another_seq2seq
Just another seq2seq repo
tf_seq2seq_chatbot
[unmaintained]
seq2seq_chatbot
基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs
seq2seq_chatbot_new
基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs