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Stars
An open-source AI coding agent that lives in your terminal.
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
An open-source tool for LLM prompt optimization.
DSPy: The framework for programming—not prompting—language models
Production-ready platform for agentic workflow development.
User Profile-Based Long-Term Memory for AI Chatbot Applications.
Minimal reproduction of DeepSeek R1-Zero
My learning notes for ML SYS.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Code for exploring surface electromyography (sEMG) data and training models associated with Reality Labs' paper
AI overlays on top of what you are doing
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Lightweight coding agent that runs in your terminal
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理
YouTube推荐系统深度学习召回排序算法, Deep Neural Networks for YouTube Recommendations. YouTubeDNN.
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
An open-source framework for self-supervised recommender systems.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Large Language Model-enhanced Recommender System Papers