| apache/superset |
56,358 |
|
0 |
21 |
about 2 years ago |
6 |
April 18, 2023 |
1,764 |
apache-2.0 |
TypeScript |
| Apache Superset is a Data Visualization and Data Exploration Platform |
| ResidentMario/missingno |
3,472 |
|
76 |
66 |
about 3 years ago |
26 |
February 26, 2023 |
8 |
mit |
Python |
| Missing data visualization module for Python. |
| isl-org/Open3D-ML |
2,221 |
|
0 |
0 |
3 months ago |
0 |
|
104 |
other |
Python |
| An extension of Open3D to address 3D Machine Learning tasks |
| WillKoehrsen/feature-selector |
2,067 |
|
0 |
0 |
about 3 years ago |
0 |
|
37 |
gpl-3.0 |
Jupyter Notebook |
| Feature selector is a tool for dimensionality reduction of machine learning datasets |
| AutoViML/AutoViz |
1,550 |
|
0 |
7 |
over 2 years ago |
75 |
October 30, 2023 |
1 |
apache-2.0 |
Python |
| Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. |
| visual-layer/fastdup |
1,313 |
|
0 |
0 |
about 2 years ago |
284 |
December 01, 2023 |
23 |
other |
Python |
| fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. |
| PAIR-code/what-if-tool |
864 |
|
0 |
4 |
over 2 years ago |
38 |
October 12, 2021 |
83 |
apache-2.0 |
HTML |
| Source code/webpage/demos for the What-If Tool |
| amaboura/panama-papers-dataset-2016 |
701 |
|
0 |
0 |
almost 10 years ago |
0 |
|
5 |
gpl-3.0 |
Jupyter Notebook |
| Structured data about Panama papers collected from official ICIJ website |
| OpenGeoscience/geojs |
422 |
|
33 |
14 |
about 2 years ago |
120 |
November 07, 2023 |
46 |
apache-2.0 |
JavaScript |
| High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets |
| shaohua0116/Activation-Visualization-Histogram |
375 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc. |