Domain Discovery D4
Data-Driven Domain Discovery for Structured Datasets
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tigramite | 1,072 |  | 2 | 4 months ago | 33 | October 10, 2023 | 9 | gpl-3.0 | Jupyter Notebook | |
| Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at | ||||||||||
| Trustworthyai | 853 | 3 months ago | 11 | August 10, 2022 | 27 | apache-2.0 | Python | |||
| trustworthy AI related projects | ||||||||||
| Microbiotaprocess | 150 | 3 months ago | 75 | R | ||||||
| :microbe: A comprehensive R package for deep mining microbiome | ||||||||||
| Artminer | 86 | 5 years ago | 1 | mit | Python | |||||
| (CVPR2019)Pytorch implementation of Paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning" | ||||||||||
| Valentine | 63 |  | 1 | 5 months ago | 10 | November 09, 2023 | 7 | apache-2.0 | Python | |
| A tool facilitating matching for any dataset discovery method. Also, an extensible experiment suite for state-of-the-art schema matching methods. | ||||||||||
| Gendis | 59 | 3 years ago | 11 | February 09, 2020 | 6 | other | Jupyter Notebook | |||
| Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments. | ||||||||||
| Fashion 200k | 42 | 2 years ago | apache-2.0 | |||||||
| Fashion 200K dataset used in paper "Automatic Spatially-aware Fashion Concept Discovery." | ||||||||||
| Databrewer | 40 | 7 years ago | 3 | May 05, 2017 | 5 | mit | Python | |||
| The missing datasets manager. Like hombrew but for datasets. CLI-tool for search and discover datasets! | ||||||||||
| Search_task | 23 | 9 years ago | ||||||||
| (Deprecated) Task for the Search & Discovery data analyst job. | ||||||||||
| Datatypes | 21 | 6 years ago | C++ | |||||||
| Automatic Discovery of the Statistical Types of Variables in a Dataset | ||||||||||
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