| dgrapov/TeachingDemos |
216 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
R |
| Bioinformatics related demos and tutorials using the R programming language |
| dsgiitr/VisualML |
106 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
gpl-3.0 |
CSS |
| Interactive Visual Machine Learning Demos. |
| 0011001011/vizuka |
100 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Explore high-dimensional datasets and how your algo handles specific regions. |
| turian/textSNE |
99 |
|
0 |
0 |
over 10 years ago |
0 |
|
3 |
|
Python |
| 2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point |
| sejaldua/music-clustering |
35 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| K-Means Clustering and PCA to categorize music by similar audio features |
| davpinto/ml-simulations |
28 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
R |
| Animated Visualizations of Popular Machine Learning Algorithms |
| shrikant-temburwar/Loan-Prediction-Dataset |
25 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| DeplanckeLab/ASAP |
24 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Java |
| ASAP : Automated Single-cell Analysis Pipeline |
| gaurav-kaushik/Data-Visualizations-Medium |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Understanding Data and Machine Learning Models with Visualizations |
| davisidarta/dbMAP |
20 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
gpl-2.0 |
Python |
| A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow. |
