Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
☆207Feb 2, 2025Updated last year
Alternatives and similar repositories for gan-vae-pretrained-pytorch
Users that are interested in gan-vae-pretrained-pytorch are comparing it to the libraries listed below
Sorting:
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Dec 20, 2021Updated 4 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Oct 22, 2018Updated 7 years ago
- Mouse Brain in the Model Zoo☆21May 11, 2022Updated 3 years ago
- Variational Auto Encoder☆37May 10, 2017Updated 8 years ago
- Utlizied brain's structural & functional connectivity to classify subjects using Graph Convolution Networks.☆12Dec 25, 2020Updated 5 years ago
- ☆12Oct 17, 2024Updated last year
- This is the backend layer of SearchX. SearchX is a scalable collaborative search system being developed by Lambda Lab of TU Delft.☆11Jan 5, 2023Updated 3 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Oct 29, 2018Updated 7 years ago
- A simple web demo with minimal framework using PyTorch and Streamlit to showcase an image classification model.☆12Dec 17, 2022Updated 3 years ago
- ☆13Feb 2, 2022Updated 4 years ago
- Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)☆16Jul 3, 2025Updated 8 months ago
- Some accessible radiomics datas were provided in this link.☆13Dec 17, 2021Updated 4 years ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Oct 22, 2017Updated 8 years ago
- ☆14Dec 4, 2023Updated 2 years ago
- This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.☆74Jan 8, 2019Updated 7 years ago
- ☆11Jan 2, 2020Updated 6 years ago
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- Evaluating methods to improve model transfer for intensive care unit models☆16Jul 6, 2023Updated 2 years ago
- A flux balance analysis machine learning classifier for microbial GWAS☆14Jan 14, 2020Updated 6 years ago
- Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & R…☆54Jun 5, 2023Updated 2 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Sep 14, 2022Updated 3 years ago
- A Two Stage Adaptation Network (TSAN) for remote sensing images classification under single-source-mixed-multiple-target domain adaptatio…☆16Jan 11, 2023Updated 3 years ago
- Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.☆61May 5, 2023Updated 2 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Feb 25, 2018Updated 8 years ago
- ☆16Dec 3, 2021Updated 4 years ago
- ☆18Nov 7, 2022Updated 3 years ago
- Simple Implementation of many GAN models with PyTorch.☆402Feb 22, 2023Updated 3 years ago
- ☆21Nov 12, 2021Updated 4 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 6 years ago
- Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image represe…☆13Feb 22, 2022Updated 4 years ago
- Targeted black-box adversarial attack using Bayesian Optimization☆38Jun 14, 2020Updated 5 years ago
- Predictive principal component analysis (PredPCA)☆20Nov 27, 2021Updated 4 years ago
- Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"☆21Aug 23, 2021Updated 4 years ago
- Source code for ICLR 2019 paper☆24Oct 6, 2020Updated 5 years ago
- ☆18Mar 24, 2023Updated 2 years ago
- reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch☆16Dec 4, 2017Updated 8 years ago
- Matching in GAN latent space for better bias benchmarking and semantic image editing. 👶🏻🧒🏾👩🏼🦰👱🏽♂️👴🏾☆20Mar 24, 2023Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Aug 25, 2021Updated 4 years ago
- ☆19Mar 5, 2018Updated 8 years ago