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AI code-writing assistant that understands data content
Feature engineering and selection open-source Python library compatible with sklearn.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
The modern replacement for Jupyter Notebooks
Repository containing notebooks of my posts on Medium
CLI task management & automation tool
The Universal Storage Engine
A Julia machine learning framework
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Python AutoML for Trading Systems and Sports Betting
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Machine learning with dataframes
What's in your data? Extract schema, statistics and entities from datasets
Keras community contributions
AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
MLBox is a powerful Automated Machine Learning python library.
moDel Agnostic Language for Exploration and eXplanation
visual data prep powered by python
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Calling Python functions from the Ruby language
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
A high performance Vector Database leveraging parallel graph computing
👩🏫 👨🏫 The open-source curriculum of Enki!
scikit-mobility: mobility analysis in Python