Variational Autoencoders simple implementation
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Updated
Mar 21, 2020 - Python
Variational Autoencoders simple implementation
Contains my experimentations with the popular GAN architectures and training methods.
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
Flow-based generative model for 3D point clouds.
Code for 2011.01761
synthesising Gnawa music (GGm) using WaveGan, a special kind of Adversarial Generative Networks (GANs).
This is keep-it-simple-and-stupid realization of Score-Based Generative Modeling through Stochastic Differential Equations.
StrangeR things: Creating Generative Art… with R?. How to create Generative Art without much effort and without being an artist with the "aRtsy" package
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Watch faces morph into each other with StyleGAN 2, StyleGAN, and DCGAN!
The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.
Synthetic Image Generation using Generative Adversarial Networks (GANs)
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
Forward integrate torch neural networks
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
Code accompanying "Generative Models: An Interdisciplinary Perspective"
Reproduction and extension of "Diffusion Models Already Have a Semantic Latent Space" by Kwon et al. (2023).
Deep Learning sample programs using PyTorch in C++
Noise Contrastive Estimation (NCE) in PyTorch
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