Audformat
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Depthai | 833 |  | 1 | 4 months ago | 31 | September 08, 2023 | 199 | mit | Python | |
| DepthAI Python API utilities, examples, and tutorials. | ||||||||||
| Conversational Datasets | 678 | 4 years ago | 4 | apache-2.0 | Python | |||||
| Large datasets for conversational AI | ||||||||||
| Imantics | 260 |  | 2 | 7 | 2 years ago | 13 | January 22, 2020 | 15 | mit | Python |
| :camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats | ||||||||||
| Allie | 126 | 7 months ago | 70 | apache-2.0 | Python | |||||
| 🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required. | ||||||||||
| Fastxml | 121 | 1 | 5 years ago | 7 | July 18, 2017 | 10 | other | Python | ||
| FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification | ||||||||||
| Sparse | 119 | 7 | 3 years ago | 3 | April 12, 2021 | 4 | mit | Go | ||
| Sparse matrix formats for linear algebra supporting scientific and machine learning applications | ||||||||||
| Avro2tf | 117 | 4 years ago | 20 | other | Scala | |||||
| Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks. | ||||||||||
| Classifai | 96 | 2 years ago | 16 | apache-2.0 | Java | |||||
| :fire: One of the most comprehensive open-source data annotation platform. | ||||||||||
| Doccano Transformer | 55 | 3 years ago | 3 | November 14, 2020 | 8 | mit | Python | |||
| The official tool for transforming doccano format into common dataset formats. | ||||||||||
| Label Pixels | 42 | a year ago | 1 | Python | ||||||
| Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery. | ||||||||||
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