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An open source Python library focused on outlier, adversarial and drift detection.

A simple, but essential Bayesian optimization package, written in Python.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

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

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Python library for scalable Bayesian optimisation.

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

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

Python library for automated feature engineering.

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

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

Distributed Asynchronous Hyperparameter Optimization in Python.

A python library for doing approximate and phonetic matching of strings.

A python package that integrates an LLM copilot inside the keras model development workflow.

Lifelines is a complete survival analysis library, written in pure Python.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

A Python module for metric learning.

Metric Learning Algorithms in Python.

C, C++, and Python tools for named entity recognition and relation extraction.

A modular active learning framework for Python, built on top of scikit-learn.

Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.

Nn builder is a python package that lets you build neural networks in 1 line.

Python-based meta-heuristic optimization techniques.

Python library for working with Probabilistic Graphical Models.