classification
disentangling-vae
| 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
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PyTorch Ensemble model
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
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[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
What are some alternatives?
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.
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
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.