| zc8340311/RobustAutoencoder |
110 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A combination of Autoencoder and Robust PCA |
| 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. |
| zlxy9892/ml_code |
94 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| A repository for recording the machine learning code |
| yell/mnist-challenge |
64 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] |
| Vooban/Autoencoder-TensorBoard-t-SNE |
54 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning. |
| kongruksiamza/MachineLearning |
52 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น |
| cxy1997/MNIST-baselines |
45 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Python |
| Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project |
| snakers4/playing_with_vae |
34 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST |
| bchao1/Fun-with-MNIST |
18 |
|
0 |
0 |
over 7 years ago |
0 |
|
|
|
Python |
| Playing with MNIST. Machine Learning. Generative Models. |
