Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
☆94Jan 15, 2021Updated 5 years ago
Alternatives and similar repositories for generative_models
Users that are interested in generative_models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆36Dec 13, 2019Updated 6 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆80Dec 9, 2018Updated 7 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆16Mar 17, 2020Updated 6 years ago
- Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.☆51Jun 18, 2020Updated 6 years ago
- Efficient implementation of Generative Stochastic Networks☆12Nov 28, 2013Updated 12 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Fred's PhD Thesis Project: VQ VAE 2 Image Compression☆33Sep 20, 2020Updated 5 years ago
- Repository for experiments with TensorFlow☆11Nov 25, 2015Updated 10 years ago
- Vector Quantized VAEs - PyTorch Implementation☆954Jul 12, 2023Updated 3 years ago
- A deep generative model of semi-unsupervised learning☆15Dec 13, 2018Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆86Nov 28, 2018Updated 7 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Aug 14, 2020Updated 6 years ago
- truncated Gaussian-Mixture Variational AutoEncoder☆11Mar 14, 2019Updated 7 years ago
- Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch☆1,803Feb 15, 2023Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Experiments for the Neural Autoregressive Flows paper☆125Jun 10, 2021Updated 5 years ago
- Notes for the Deep Learning Book☆20Mar 27, 2019Updated 7 years ago
- Code to compute (and backpropagate) FID for a mini-batch of fake samples.☆16Oct 13, 2021Updated 4 years ago
- A Tensorflow 2.0 reimplementation of World Models - David Ha, Jürgen Schmidhuber (2018)☆20Mar 25, 2023Updated 3 years ago
- AID: An affine invariant descriptor for SIFT.☆10Nov 21, 2022Updated 3 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆286Jun 28, 2018Updated 8 years ago
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆603Nov 13, 2019Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 9 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Feb 21, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Consistency Models Made Easy☆333Oct 13, 2024Updated last year
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Oct 29, 2017Updated 8 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Apr 2, 2019Updated 7 years ago
- facebook link prediction kaggle challenge.☆15Aug 10, 2014Updated 12 years ago
- ImageNetV2 Pytorch Dataset☆44Apr 17, 2023Updated 3 years ago
- Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper☆36Oct 27, 2023Updated 2 years ago
- Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models implemented by pytorch☆13Jun 11, 2018Updated 8 years ago
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆48Oct 3, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Testing Difference Target Propagation (DTP) on MNIST.☆13Oct 12, 2020Updated 5 years ago
- ☆63Apr 19, 2021Updated 5 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- ☆25Jul 6, 2018Updated 8 years ago
- The Differentiable Cross-Entropy Method☆124Aug 14, 2020Updated 6 years ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Jun 4, 2024Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆589May 13, 2021Updated 5 years ago