classification VS disentangling-vae

Compare classification vs disentangling-vae and see what are their differences.

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classification disentangling-vae
1 1
20 794
- -
0.0 0.0
almost 2 years ago almost 2 years ago
Python Python
MIT License GNU General Public License v3.0 or later
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classification

Posts with mentions or reviews of classification. We have used some of these posts to build our list of alternatives and similar projects.
  • PyTorch Ensemble model
    1 project | /r/pytorch | 5 Jan 2022
    I created a CNN for a classification problem using 2 different techniques: 1) conventional CNN and 2) contrastive learning (SimCLR framework). As a reference code, I attack the starting point of my coding: https://github.com/giakou4/MNIST_classification.

disentangling-vae

Posts with mentions or reviews of disentangling-vae. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing classification and disentangling-vae you can also consider the following projects:

convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.

pytask - pytask is a workflow management system that facilitates reproducible data analyses.

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