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Comicory uses AI to draft, edit, summarize, or adapt written content.

ComicsMaker.ai provides machine-learning models, research, training resources, or evaluation tools.

Org profile for Stable Diffusion concepts library on Hugging Face, the AI community building the future.

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

A library of shared system prompts for creating customized educational GPT agents.

Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

AI SDK is a developer tool, library, or framework for building, testing, or maintaining software.

Open-source Python library enabling ML model inspection and interpretation.

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

The most capable data visualization library on the web. 60+ chart types, maps, financial charts, Gantt. Trusted by 20,000+ companies worldwide.

Beautiful Soup: a library designed for screen-scraping HTML and XML.

CPU and GPU-accelerated Machine Learning Library.

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

Bokeh is a Python-based visualization library, capable of building plots from simple charts to interactive dashboards.

A dashboard library for interactive visualizations using flask socketio and react.

Breeze is a numerical processing library for Scala.

Not sure where to start with AI? Browse the Breeze Use Case Library to find the right use case for your sales, marketing, or service workflow.

Theano based library for deep and recurrent neural networks.

Model interpretability and understanding library for PyTorch.

Library of ML-Engineering tools for rapid prototyping and experiment management.

Lightweight, extensible data validation library for Python.

Simple yet flexible JavaScript charting library for the modern web.

A PyTorch based deep learning library for drug pair scoring.

Python library for data-centric AI and machine learning with messy, real-world data and labels.