TranslatedChinese LLaMA & Alpaca LLMs + local CPU/GPU training and deployment
- llm
- plm
- pre-trained-language-models
- alpaca
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TranslatedChinese LLaMA & Alpaca LLMs + local CPU/GPU training and deployment
The motion graphics toolbelt for the web
Fast and accurate AI powered file content types detection
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Etherpad: A modern really-real-time collaborative document editor.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Wan: Open and Advanced Large-Scale Video Generative Models
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Ongoing research training transformer models at scale
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Datasets, Transforms and Models specific to Computer Vision
A Big Picture, Thesaurus, and Taxonomy of Modern JavaScript Web Development
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
The modern toolkit for building drag and drop interfaces
Janus-Series: Unified Multimodal Understanding and Generation Models
mold 🦠: A Modern Linker in Rust 🦀
A collection of various deep learning architectures, models, and tips
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
[MAINTENANCE MODE] Modular and customizable Material Design UI components for Android
Wan: Open and Advanced Large-Scale Video Generative Models