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C++ |
5 |
MNIST classification using PCA |
Oct 13, 2021 |
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Python |
12 |
VAE + Quantile Networks for MNIST |
Mar 30, 2022 |
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Jupyter Notebook |
19 |
VAE-GAN applied to the MNIST Digits |
Oct 19, 2022 |
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Jupyter Notebook |
76 |
An interactive UMAP visualization of the MNIST data set. |
May 16, 2023 |
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Jupyter Notebook |
2 |
App to explore umap image embeddings for MNIST class datasets |
Oct 27, 2023 |
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Jupyter Notebook |
5 |
Minimal VAE, Conditional VAE (CVAE), Gaussian Mixture VAE (GMVAE) and Variational RNN (VRNN) in PyTorch, … |
Dec 18, 2022 |
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Jupyter Notebook |
17 |
PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset. |
Mar 22, 2023 |
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Python |
28 |
Semi-Supervised Learning with Categorical VAE (experimented on MNIST) |
Jan 21, 2021 |
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Jupyter Notebook |
2 |
Sci-Kit's breast cancer (Wisconsin) dataset. Reduced dimensionality via UMAP, t-SNE, PCA. |
Jun 29, 2022 |
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Python |
57 |
Implementation of VAE and CVAE using Pytorch on MNIST dataset |
Apr 27, 2023 |
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Python |
9 |
Implement Conditional VAE and train on MNIST by tensorflow 1.3.0. |
Jan 04, 2021 |
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Python |
2 |
Numpy实现VAE生成MNIST数据集 |
Sep 24, 2023 |
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Jupyter Notebook |
19 |
A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap |
Jul 04, 2022 |
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Jupyter Notebook |
2 |
Generating new MNIST handwritten digits with a Variational Auto Encoder (VAE) |
Jan 09, 2022 |
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Python |
3 |
Cifar 10 using CNN, LDA, PCA Whitening + LDA, PCA Whitening + PCA, PCA+LDA, PCA+LDA, … |
Oct 22, 2023 |
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Jupyter Notebook |
2 |
VAE and MCD VAE |
Jul 21, 2020 |
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HTML |
13 |
Interactive demonstration of how to use PCA, t-SNE, and UMAP on genotype data from the … |
Jul 06, 2022 |
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Python |
24 |
使用PCA和2DPCA对mnist中的数据进行降维 |
Feb 01, 2023 |
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C++ |
5 |
Applications for umap |
May 21, 2022 |
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C++ |
19 |
UMAP C++ implementation |
Oct 15, 2022 |
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TypeScript |
2 |
tfjs + umap-js |
Mar 03, 2023 |
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Python |
2 |
FCN pytorch implementation |
Jun 29, 2020 |
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Python |
3 |
FCN-pytorch implement |
Nov 05, 2021 |
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Jupyter Notebook |
12 |
A simple implementation of Principal Component Analysis (PCA) visualized using Fashion MNIST Dataset. Thanks to … |
Apr 17, 2023 |
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Python |
6 |
VAE |
Aug 04, 2020 |
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HTML |
5 |
Customization d'une instance uMap |
Sep 30, 2021 |
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Python |
2 |
UMap-Deployment für VernetzteWelten.org |
Mar 23, 2021 |
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JavaScript |
286 |
JavaScript implementation of UMAP |
Apr 27, 2023 |
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JavaScript |
5 |
An invertible UMAP embedding |
Sep 28, 2022 |
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R |
2 |
umart generates umap art |
Mar 12, 2022 |
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C# |
4 |
UWP app for FCN |
Feb 27, 2022 |
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Python |
5 |
Semantic Segmentation by FCN |
Apr 12, 2022 |
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Python |
7 |
Implementation FCN via chainer |
Dec 11, 2018 |
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Python |
5 |
Implementation of FA-VAE: Frequancy Augmented VAE |
Sep 24, 2023 |
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Jupyter Notebook |
4 |
GAN, VAE |
Sep 07, 2021 |
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Python |
3 |
AGoRaS-VAE |
Jun 02, 2022 |
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Python |
28 |
Lagrangian VAE |
Jun 28, 2022 |
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Jupyter Notebook |
2 |
VAE-Recommender |
Dec 08, 2021 |
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Jupyter Notebook |
7 |
SR-VAE |
Feb 01, 2023 |
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Python |
10 |
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual … |
Mar 24, 2023 |
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JavaScript |
117 |
Understanding the theory behind UMAP |
Mar 02, 2023 |
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MATLAB |
2 |
PCA analysis |
Apr 20, 2021 |
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C++ |
2 |
PCA fitter |
Oct 24, 2016 |
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R |
4 |
Parallel PCA |
Aug 05, 2021 |
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Jupyter Notebook |
2 |
PCA visualization |
May 17, 2021 |
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Jupyter Notebook |
6 |
FCN, SegNet, DeepLab, U-net |
Oct 30, 2020 |
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Python |
6 |
Code for "ByPE-VAE: Bayesian pseudocoresert Exemplar VAE", NeurIPS21 |
Jun 22, 2022 |
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Python |
4 |
VAE paddlepaddle implement |
May 15, 2022 |
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Python |
2 |
Partial VAE Implementation |
Jun 27, 2022 |
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Python |
48 |
(beta-)VAE Tensorflow |
Jan 28, 2023 |