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Deep learning systems notes covering the math fundamentals of deep learning, detailed neural network building blocks, deep learning training strategies, and model compression algorithms.
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Deep learning systems notes covering the math fundamentals of deep learning, detailed neural network building blocks, deep learning training strategies, and model compression algorithms.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. |
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
A fork of lx-netease-music-mobile modified for personal needs — for personal use only.
[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.
The Hugging Face Course on Transformers for Audio
Mega is an open-source implementation of Google Piper — a Git-compatible monorepo engine built for the AI Agent era.
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
HackAgent is an open-source security toolkit to detect vulnerabilities of your AI Agents
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]
Emerging and experimental patterns for building with the Foundation Models framework
Data-Driven Evaluation for LLM-Powered Applications
An intelligent reverse engineering analysis tool designed for multiple target platforms, currently supporting HarmonyOS (HAP/APP/ABC) and Android (APK/AAB).
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
Vibe code with pi in a lightweight, real IDE - The Vibe You Need
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.
Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
ComfyUI node for highly expressive speech and realistic zero-shot voice cloning
Self-hosted AI workspace with shareable AI teammates, shared conversations, memory, and governed access to plugins, MCP tools, and local devices.
Fast-track AI innovation with a centralized, trusted, curated registry