Python Library
Showing 36 of 218 projects
A Python library that fixes mojibake and other Unicode text glitches by detecting and correcting encoding mix-ups.
A powerful, user-friendly HTTP client library for Python with thread safety, connection pooling, and comprehensive features.
An open-source solution for continuous validation of machine learning models and data, from research to production.
A terminal visual effects engine and Python library for creating inline animations like Matrix rain, decrypt, and beams.
A research framework for reinforcement learning providing modular building blocks and reference agent implementations.
A command-line tool and Python library for managing SSH connections and configurations.
A Python port of Google's libphonenumber library for parsing, formatting, and validating international phone numbers.
A library for audio and music analysis, detecting events like onsets, pitch, tempo, and beats in audio signals.
A Python library and CLI tool for automatic text summarization using extractive methods like LexRank, LSA, Luhn, and Edmundson.
A toolkit for turning classic video games into Gym environments for reinforcement learning research.
A Python library for computing distances between sequences with 30+ algorithms, pure Python implementation, and optional external libraries for speed.
Seamlessly integrate large language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
A collection of cheminformatics and machine-learning software for molecular informatics, written in C++ with Python wrappers.
A Python library providing a standardized API for multi-agent reinforcement learning environments with diverse reference games.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A Python library and CLI utility for rendering project templates from local paths or Git URLs with dynamic value replacement.
A JAX-based neural network library that provides a simple, object-oriented programming model for building and training models.
A Python library that makes machine learning models interpretable and transparent through user-friendly visualizations and a web application.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
A Python API and CAN database for controlling and reading data from modern cars with ADAS interfaces.
A high-performance, easy-to-use, and scalable machine learning package for linear models, factorization machines, and field-aware factorization machines.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
Fast tool for comparing datasets within or across SQL databases to identify differences.
A free, state-of-the-art library and toolkit for named entity extraction and binary relation detection from text.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A Python wrapper for libmagic that identifies file types by checking their headers.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
A full-featured YAML processing framework for Python with optional LibYAML bindings for improved performance.
A fast and complete Python implementation of Markdown with optional extras for extended syntax.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.
An accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments using Bayesian and bandit optimization.
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