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Collect, clean and visualize your data in Python.

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

DeepSearch is a powerful Python-based OSINT utility that leverages Google's advanced search operators to perform comprehensive digital footprint analysis.

A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).

An API wrapper for Discord written in Python.

DLib has C++ and Python interfaces for face detection and training general object detectors.

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

Python library for scalable Bayesian optimisation.

Python library for decision tree visualization and model interpretation.

Python library for experiment metrics logging into simply formatted local files.

LLM Agent, GenAI Agent, AI Service, Framework, Python, Chatbots, RAG, Agentic Framework.

Python package which helps to debug machine learning classifiers and explain their predictions.

Face recognition library that recognizes and manipulates faces from Python or from the command line.

A Python package to assess and improve fairness of machine learning models.

Python library for automated feature engineering.

Python distributed computing library for modern computer clusters.

Easy-to-use and flexible AutoML library for Python.

An open source Python library for drift detection in machine learning systems.

Python package for geospatial intelligence workflows, location data, and map-based OSINT tasks.

Grid studio is a web-based spreadsheet application with full integration of the Python programming language.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.

Fundamentals of machine learning in python.

Implementation of the hdbscan algorithm in Python - used for clustering.

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