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advanced-go-programming-book icon 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)

chatgpt-prompt icon chatgpt-prompt

这是一个 chatgpt 的 prompt list 开源仓库,旨在为各类 chatgpt 的使用者提供丰富、多样的 prompt 样例。仓库拥有创造性、灵感性、实用性、趣味性全面覆盖的 prompt 样例,用户可以在仓库中找到适合自己需求的 prompt 并在各种 NLU/NLG 应用中运用。我们欢迎用户们上传和分享自己的 prompt 样例,希望这个仓库能成为交流和学习的平台,共同推动 chatgpt 技术的发展。

coingecko_api icon coingecko_api

Dart package that provides simple access to the CoinGecko API (Version 3)

compress_png_tiny icon compress_png_tiny

完成部分tinypng的功能,不过压缩比例略微大于tinypng,压缩效果也可以看到差异,希望高手共同优化

doc icon doc

🍀 stuff like rfc, av file for test || 协议标准文档和测试用的音视频文件

easyplayer.js icon easyplayer.js

EasyPlayer.js H5播放器,是一款能够同时支持HTTP、RTMP、HTTP-FLV、HLS(m3u8)直播与点播等多种协议,支持H.264、H.265、AAC等多种音视频编码格式,支持mse、asm、wasm等多种解码方式,支持Windows、Linux、Android、iOS全平台终端的H5播放器。EasyPlayer.js H5 Player support HTTP/RTMP/HTTP-FLV/HLS(m3u8) live streaming & vod streaming,support H.264/H.265/AAC video & audio codec,support mse/asm/wasm decode mode,support Windows/Linux/Android/iOS platform,EasyPlayer.js uses leading-edge technology.

go icon go

The Go programming language

go-ast-book icon go-ast-book

:books: 《Go语法树入门——开启自制编程语言和编译器之旅》(开源免费图书/Go语言进阶/掌握抽象语法树/Go语言AST/凹语言)

go2-book icon go2-book

:books: 《Go2编程指南》开源图书,重点讲解Go2新特性,以及Go1教程中较少涉及的特性

gocpp icon gocpp

golang引用c++文件(Golang references C ++ files)

gold-miner icon gold-miner

🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:

govcl icon govcl

Cross-platform Golang GUI library.

gpt-2 icon gpt-2

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

gpt2-chitchat icon gpt2-chitchat

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

gtk icon gtk

Read-only mirror of https://gitlab.gnome.org/GNOME/gtk

h265player icon h265player

一套完整的Web版H.265播放器解决方案,非常适合学习交流和实际应用。基于JS码流解封装、WebAssembly(FFmpeg)视频解码,利用Canvas画布投影、AudioContext播放音频。

h2o-3 icon h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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