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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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.
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.
Modern, interactive charts for Jupyter notebooks
Meteorites vs UFOs: Detection Bias Study - 1,279 records, temporal+state+meteorite detail