Python Library
Showing 36 of 227 projects
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A Python library for reading, writing, repairing, and transforming PDFs, powered by the qpdf C++ library.
A Python library for explaining machine learning models using black-box, white-box, local, and global interpretation methods.
Python library and CLI tool to interface with Google Translate's text-to-speech API for generating MP3 audio from text.
A Python library that automatically detects the character encoding of text files and byte streams with high accuracy and speed.
A Python package for monitoring and controlling NVIDIA Jetson devices, featuring a terminal-based dashboard and library.
A Python library providing WebSocket and WAMP (Web Application Messaging Protocol) implementations for Twisted and asyncio.
A Python database connector for MySQL and MariaDB, forked from MySQLdb1 with Python 3 support and bug fixes.
A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
An open-source tool for audio matching and mastering that makes your track sound like a reference song.
A Python library for loading, shaping, embedding, and exploring large graphs with GPU-accelerated visualization and analytics.
An efficient video and audio loader for deep learning with hardware-accelerated decoding and smart shuffling.
A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.
A lightweight Python library for creating portable, expressive, and testable data transformation DAGs with built-in lineage and metadata.
A Python library providing a unified API for network automation across multiple vendor devices.
HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.
An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.
A Python library for graph deep learning built on Keras and TensorFlow 2, providing flexible tools for graph neural networks.
A high-level neural network API for specifying and analyzing infinite-width neural networks as Gaussian Processes in Python.
A machine learning package implementing message passing neural networks for predicting molecular and reaction properties.
A Python library for building GraphQL servers using the schema-first approach with a simple, modular API.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
A Python library for reading, writing, and converting between many mesh file formats used in scientific computing.
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
A gradient processing and optimization library for JAX, designed for research with composable building blocks.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A Python library for approximate and phonetic string matching, implementing algorithms like Levenshtein distance and Soundex.
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
PyGAD is a Python library for building genetic algorithms and optimizing machine learning models with Keras and PyTorch support.
A Python library for generating concise, unambiguous, and URL-safe UUIDs using a custom base57 alphabet.
A collection of GPU-accelerated graph analytics libraries for creating, manipulating, and executing scalable graph algorithms.
A robust LiDAR odometry pipeline that works out-of-the-box without parameter tuning for accurate robot localization.
A Python library and CLI tool that converts HTML into clean, readable Markdown-formatted plain text.
An open-source Python library for probabilistic time series modeling with both frequentist and Bayesian inference methods.
A Python implementation of the MessagePack binary serialization format, providing fast and compact data exchange.
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