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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

The interactive graphing library for Python :sparkles:

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Jupyter Interactive Notebook

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Visualizer for pandas data structures

A collection of infrastructure and tools for research in neural network interpretability.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

Machine Learning in Asset Management (by @firmai)

A system for assigning and grading notebooks

CoCalc: Collaborative Calculation in the Cloud

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

Deep Learning for Coders, 2020, the website

A Jupyter notebook viewer for macOS

Datasets & Analyses for Formula 1 World Championship

Start developing and backtesting your own automated trading strategies

A collection of Jupyter Notebooks for learning Python for Data Science.

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Various Jupyter notebooks about Common Crawl data

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

An image classifier to classify things as huggable or not.