meta-llama/llama3

9.8k721

Gained this week

The official Meta Llama 3 GitHub site

jwasham/coding-interview-university

6.2k890

Gained this week

A complete computer science study plan to become a software engineer.

1Panel-dev/MaxKB

2.4k350

Gained this week

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

🌐 The Internet Computer! Free, Open-Source, and Self-Hostable.

Descent 3 by Outrage Entertainment

Redis re-implemented with SQL

Quill is a modern WYSIWYG editor built for compatibility and extensibility

PyTorch native post-training library

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

The production-scale datacenter profiler (C/C++, Go, Rust, Python, Java, NodeJS, .NET, PHP, Ruby, Perl, ...)

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Port of OpenAI's Whisper model in C/C++

A flexible distributed key-value database that is optimized for caching and other realtime workloads.

Web framework built on Web Standards

High-quality PNGs for logos I made for fun

Curated list of project-based tutorials

Community-built comprehensive 2D content creation appplication for graphic design, digital art, and interactive real-time motion graphics powered by a node-based procedural graphics engine

All Algorithms implemented in Python

Learn System Design concepts and prepare for interviews using free resources.

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings