Awesome resources on normalizing flows.
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Updated
Apr 12, 2024 - Python
Awesome resources on normalizing flows.
Regression Transformer (2023; Nature Machine Intelligence)
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
Flow-based generative model for 3D point clouds.
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
Noise Contrastive Estimation (NCE) in PyTorch
Multiplicative Normalizing Flows in PyTorch.
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
Official code for Continuous-Time Functional Diffusion Processes (NeurIPS 2023).
Official source code repository for the paper "Benchmarking Generative Latent Variable Models for Speech"
This is keep-it-simple-and-stupid realization of Score-Based Generative Modeling through Stochastic Differential Equations.
Forward integrate torch neural networks
Watch faces morph into each other with StyleGAN 2, StyleGAN, and DCGAN!
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
Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling"
Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling.'
Variational Autoencoders simple implementation
The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.
A Python library to infer from sequences
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