There are 2 repositories under generative-modeling topic.
Awesome resources on normalizing flows.
Deep Learning sample programs using PyTorch in C++
Regression Transformer (2023; Nature Machine Intelligence)
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
Flow-based generative model for 3D point clouds.
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).
Watch faces morph into each other with StyleGAN 2, StyleGAN, and DCGAN!
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
Code accompanying "Generative Models: An Interdisciplinary Perspective"
The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.
Code for 2011.01761
StrangeR things: Creating Generative Art… with R?. How to create Generative Art without much effort and without being an artist with the "aRtsy" package
This is keep-it-simple-and-stupid realization of Score-Based Generative Modeling through Stochastic Differential Equations.
Reproduction and extension of "Diffusion Models Already Have a Semantic Latent Space" by Kwon et al. (2023).
An LLM based tool for generation of cheese advirtisements
A Python library to infer from sequences
Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling"
Official source code repository for the paper "Benchmarking Generative Latent Variable Models for Speech"
This repository is a comprehensive guide and toolkit for music generation, featuring diverse algorithms, deep learning models, and creative techniques to inspire and assist in the composition of unique musical pieces.
Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling.'
Implementation of the personalized image to text generation framework proposed in the paper: VICO: Plug and Play Visual Condition for Personalized Text-to-Image Generation
Synthetic Image Generation using Generative Adversarial Networks (GANs)
This repository contains the implementation for "Towards Biologically Plausible and Private Gene Expression Data Generation" (accepted at PoPETs 2024)
Forward integrate torch neural networks