TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
Configuration library for Python applications
A Component Library for Dash aimed at facilitating network visualization in Python, wrapped around Cytoscape.js
A PyTorch library of transformer models and components
Core components of PySAL - A library of spatial analysis functions
TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
Database connection pool component library for Django
Fluid dynamics component of Chemical Engineering Design Library (ChEDL)
Chemical properties component of Chemical Engineering Design Library (ChEDL)
Chemical properties component of Chemical Engineering Design Library (ChEDL)
Shared components library for Great services.
A library for querying the OSS Index free catalogue of open source components to help developers identify vulnerabilities, understand risk, and keep their software safe.
PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
This django library allows you to add React components into your django templates.
Dash Component library for SSB
ROADtools common components library
Hardware component library for the Kervi automation framework
AppOptics APM libraries, instrumentation, and web middleware components for WSGI, Django, and Tornado.
EstNLTK core - basic data structures and components of the EstNLTK library
Zenaura is an experimental Python library built upon PyScript, designed to empower Python developers to create stateful, component-based Single Page Applications (SPAs). By leveraging a virtual DOM implementation, Zenaura optimizes the performance, reactivity, responsiveness, and interactivity of web applications. This allows developers to build high-performance, dynamic web applications using familiar Python concepts and syntax.
Shared components library for Great services.
Python library for easily interacting with trained machine learning models
A library to create a discord.py 2.0+ paginator. Supports pagination with buttons, reactions, and category selection using selects.
A library to manage and track versions of software components
A Python script that convert any electronic components from LCSC or EasyEDA to a Kicad library
Repository of reusable Python components to be shared by Python projects using the Bootloader services
Python library to facilitate modular components that can be combined through dependency injection.
A Python script that convert any electronic components from LCSC or EasyEDA to a Kicad library
A Streamlit component library for interactive charts in chartjs. Draggable line, scatter, and bezier charts. The updated data of the chart is returned after user interaction.
A beginner-friendly library for using common electronics components with the Raspberry Pi Pico.
Voxcell is a small library to handle probability distributions that have a spatial component and to use them to build collection of cells in space.
Library that contains implementations of machine learning components in the hyperbolic space
Utilities library with several more or less independent components
Heat transfer component of Chemical Engineering Design Library (ChEDL)
Duplicate components library python library.
Python library for easily interacting with trained machine learning models
Python library for easily interacting with trained machine learning models
tkchart is a Python library for creating live updating line charts in Tkinter.
Trich.ai components library for Dash Plotly
Python library supporting Project Mu components (EDKII, TPM, Capsules, etc.)
PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
Dash library for managing component IDs
Python library for easily interacting with trained machine learning models
Reflex custom component library for Clerk, a user management platform
A library that allows the editing of content control XML components in .docx files.
A library of components for batou.
Python library for easily interacting with trained machine learning models