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DeepSeek Harness: Everything is a Plugin.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-rep…
Skills for Real Engineers. Straight from my .agents directory.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
提供多款 Shadowrocket 规则，拥有强劲的广告过滤功能。每日 8 时重新构建规则。
What would you do with 1000 H100s...
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
The official GitHub page for the survey paper "A Survey of Large Language Models".
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Making large AI models cheaper, faster and more accessible
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…
Recommender Systems Paperlist that I am interested in
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
The Boehm-Demers-Weiser conservative C/C++ Garbage Collector (bdwgc, also known as bdw-gc, boehm-gc, libgc)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more