Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
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Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
An open access book on scientific visualization using python and matplotlib
- python
- matplotlib
- dataviz
- scientific-publications
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
- figures
- python
- icml
- nature-machine-intelligence
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
- outlier-detection
- anomaly-detection
- outlier-ensembles
- machine-learning
Perform data science on data that remains in someone else's server
- deep-learning
- secure-computation
- pytorch
- privacy
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
- backtesting
- trading
- algorithmic-trading
- trading-strategies
code for Data Science From Scratch book
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
- xonsh
- devops
- iterm2
- data-engineering
High accuracy RAG for answering questions from scientific documents with citations
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
Deep learning library featuring a higher-level API for TensorFlow.
- tflearn
- tensorflow
- neural-network
- deep-learning
Matplotlib styles for scientific plotting
- matplotlib-style-sheets
- matplotlib-figures
- scientific-papers
- thesis-template