An autonomous agent that conducts deep research on any data using any LLM providers
- ai
- python
- agent
- automation
47,133 repositories indexed
49–72 of 620 · Most stars
An autonomous agent that conducts deep research on any data using any LLM providers
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data validation using Python type hints
🕸️ Web apps in pure Python 🐍
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for live SEO data.
Download market data from Yahoo! Finance's API
Minimal examples of data structures and algorithms in Python
Data Apps & Dashboards for Python. No JavaScript Required.
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
matplotlib: plotting with Python
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools