A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.

Rust implementation of Namada, a Proof-of-Stake L1 for interchain asset-agnostic privacy

Decentralized Autonomous Regulated Company (DARC), a company virtual machine that runs on any EVM-compatible blockchain, with on-chain law system, multi-level tokens and dividends mechanism.

ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。

Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon

This is a repo with links to everything you'd ever want to learn about data engineering

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

自动抓取更新iptv源 Autoupdate iptv sources

Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The most popular .NET Foundation community project.

科技爱好者周刊，每周五发布

Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.

World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams. The GitLab/GitHub for database DevOps.

Self-hosted photo and video backup solution directly from your mobile phone.

提取微信聊天记录，将其导出成HTML、Word、CSV文档永久保存，对聊天记录进行分析生成年度聊天报告

基于 无障碍 + 高级选择器 + 订阅规则 的自定义屏幕点击 Android APP

Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources

Examples and recipes for Llama 2 model

A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

中华人民共和国行政区划：省级（省份）、 地级（城市）、 县级（区县）、 乡级（乡镇街道）、 村级（村委会居委会） ，中国省市区镇村二级三级四级五级联动地址数据。

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.