9 best Python Dataset libraries in 2022
by Open Weaver kits ✔ Updated: May 13, 2022
Python programming language was developed by Guido van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer Science in the Netherlands. It is simple, easy to read and learn, open source, cross-platform, extensible with other languages, and has an extensive standard library. It is a powerful programming language that can be used as a scripting language for web applications, automation, artificial intelligence, and scientific computing. Analyzing and visualizing data can be very helpful in understanding data sets. Python has a wide range of libraries that provide data analysis tools to deal with data from various sources. There are several popular Python Dataset open source libraries available for developers: vision - Datasets, Transforms and Models specific to Computer Vision; tensor2tensor - deep learning models and datasets designed to make deep learning; ParlAI - evaluating AI models.
Datasets, Transforms and Models specific to Computer Vision
Python 13612 Version:v0.15.1 License: Permissive (BSD-3-Clause)
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Python 13286 Version:v1.15.7 License: Permissive (Apache-2.0)
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Python 9896 Version:1.7.1 License: Permissive (MIT)
Safety helmet wearing detect dataset, with pretrained model
Python 1181 Version:Current License: Permissive (MIT)
Large datasets for conversational AI
Python 1085 Version:Current License: Permissive (Apache-2.0)
Some custom dataset examples for PyTorch
Python 687 Version:Current License: Permissive (MIT)
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Python 388 Version:Current License: Others (Non-SPDX)
Ubisoft La Forge - Animation Dataset
Python 718 Version:Current License: Others (Non-SPDX)