Python Library
Showing 36 of 627 projects
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A Python library for the Docker Engine API that enables programmatic container and image management.
A Python library for extracting and analyzing text, images, and metadata from PDF documents.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
A multi-domain Chinese word segmentation toolkit offering higher accuracy and domain-specific models.
A Python library for processing simplified Chinese text, offering sentiment analysis, segmentation, and keyword extraction.
A Python library for heuristic optimization algorithms including Genetic Algorithm, PSO, Simulated Annealing, and Ant Colony Optimization.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
A Python framework for rapid prototyping and testing of evolutionary algorithms, including genetic algorithms, genetic programming, and evolution strategies.
An open-source raster to vector graphics converter that efficiently transforms images into compact SVG files.
An open-source implementation of Hierarchical Temporal Memory (HTM) for anomaly detection and prediction of streaming data.
A Python library and CLI tool for web crawling, scraping, and extracting main text, metadata, and comments from web pages.
An open-source offline translation library and toolkit written in Python, supporting over 30 languages via downloadable language models.
A Python library for audio feature extraction, classification, segmentation, and machine learning applications.
A Python library for programmatically building and managing training data using weak supervision.
A Python library for online machine learning, designed for streaming data with a focus on user experience.
A Python module that converts XML to and from Python dictionaries, making XML feel like JSON.
A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.
An Emmy-winning perceptual video quality assessment algorithm that fuses multiple metrics to predict human visual quality.
A Python library for image augmentation in machine learning, offering a stochastic pipeline approach with fine-grained control over operations.
A Python library implementing hybrid recommendation algorithms with metadata support for both implicit and explicit feedback.
A Python library for automating interaction with websites.
A Python library for lightning-fast univariate time series forecasting with optimized statistical and econometric models.
A collection of convenience functions to simplify common image processing tasks with OpenCV and Python.
A Python library using machine learning for accurate and scalable fuzzy matching, record deduplication, and entity resolution on structured data.
A flexible and expressive API for performing statistical data validation on dataframe-like objects.
A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.
A library for building GraphQL APIs with seamless Django integration, enabling efficient and flexible data querying.
Official Python client for Elasticsearch, providing idiomatic access to search and analytics engines.
The official MongoDB driver for Python, providing synchronous and asynchronous APIs for database interaction.
A lightweight, open-source continuous speech recognition engine for embedded and offline applications.
A Python implementation of John Gruber's Markdown with comprehensive extension support.
A Python implementation of John Gruber's Markdown with comprehensive extension support.
A Python library for visualizing missing data in pandas DataFrames using matrix, bar, heatmap, and dendrogram plots.
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