| heucoder/dimensionality_reduction_alo_codes |
1,949 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| 特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现 |
| 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. |
| 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. |
| JONGGON/Tensorflow_Advanced_Tutorials |
52 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다. |
| mducoffe/Learning-Wasserstein-Embeddings |
35 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Python |
| Keras implementation of Deep Wasserstein Embeddings |
| jefkine/zeta-learn |
27 |
|
0 |
0 |
over 5 years ago |
15 |
October 16, 2019 |
1 |
mit |
Python |
| zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib |
| bchao1/Fun-with-MNIST |
18 |
|
0 |
0 |
over 7 years ago |
0 |
|
|
|
Python |
| Playing with MNIST. Machine Learning. Generative Models. |
| luyiyun/NormAE |
16 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| Batch effects removal method based on deep autoencoder and adversarial learning |
| Tangshengku/PCA-SVD-Autoencoder-Fourier-Wavelet-Transformation-for-denoising |
15 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| PCA-SVD-Autoencoder-Fourier-Wavelet-Transformation-for-denoising |
