deeplon Goto Github PK

aescipher

AES 加解密，支持 CFB OFB CBC ECB模式

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

aliware-kafka-demos

提供各种客户端接入阿里云 消息队列 Kafka 的demo工程

anyq

FAQ-based Question Answering System

blackbone

Windows memory hacking library

book

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

chatgpt-on-wechat

Wechat robot based on ChatGPT, which using OpenAI api and itchat library. 使用ChatGPT搭建微信聊天机器人，基于GPT3.5 API和itchat实现

chrome-plugin-demo

《Chrome插件开发全攻略》配套完整Demo，欢迎clone体验

chtmoneyhub

Automatically exported from code.google.com/p/chtmoneyhub

confluent-kafka-go

Confluent's Apache Kafka Golang client

conv-tasnet

Deep Neural Network for Speaker Separation

darknet

Convolutional Neural Networks

deviare2

Deviare API Hook

duilib_duieditor

UIDesigner for duilib

elastic

Elasticsearch client for Go.

gdal

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

go-openai

OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go

goproxy

Proxy is a high performance HTTP(S) proxies, SOCKS5 proxies,WEBSOCKET, TCP, UDP proxy server implemented by golang. Now, it supports chain-style proxies,nat forwarding in different lan,TCP/UDP port forwarding, SSH forwarding.Proxy是golang实现的高性能http,https,websocket,tcp,socks5代理服务器,支持内网穿透,链式代理,通讯加密,智能HTTP,SOCKS5代理,黑白名单,限速,限流量,限连接数,跨平台,KCP支持,认证API。

goquery

A little like that j-thing, only in Go.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

json

JSON for Modern C++

kafka-go

Kafka library in Go

liblnk

libLNK is a c++ library for creating Windows shortcuts (*.lnk files)

log4go

Logging package similar to log4j for the Go programming language

memloadlibrary

memorylibrary

Reflective DLL Loader

memorymodule

Library to load a DLL from memory.

memorymodulepp

MemoryModule which compatible with Win32 API and support exception handling

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。