Alternatives and similar repositories for jax-variational-diffwave:

Users that are interested in jax-variational-diffwave are comparing it to the libraries listed below

• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆41Updated 5 years ago
• aliutkus / spe
  Relative Positional Encoding for Transformers with Linear Complexity
  ☆62Updated 2 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆64Updated 4 years ago
• EdwardDixon / snake
  Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"
  ☆62Updated 9 months ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated last year
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆37Updated last year
• lucidrains / insertion-deletion-ddpm
  Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models
  ☆30Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆25Updated last year
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• kylehkhsu / latent_quantization
  ☆35Updated last year
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆19Updated 3 years ago
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆59Updated 2 years ago
• ViEm-ccy / GEDLoss_pytorch
  a pytorch implementation of Google GEDLoss
  ☆32Updated 4 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• byeonghu-na / INDM
  Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.
  ☆41Updated 9 months ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 3 years ago
• revsic / torch-diffusion-wavegan
  Parallel waveform generation with DiffusionGAN
  ☆17Updated 2 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• ANLGBOY / WaveNODE
  Pytorch Implementation of WaveNODE
  ☆64Updated 4 years ago
• gisilvs / AEF
  ☆33Updated last year
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆73Updated 4 years ago
• lucidrains / rvq-vae-gpt
  My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation
  ☆83Updated 4 months ago
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆55Updated last year
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆37Updated 4 years ago
• gcambara / cape
  Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
  ☆39Updated 2 years ago
• SubramaniKrishna / STFTgrad
  Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"
  ☆31Updated 4 years ago
• yoyolicoris / variational-diffwave
  ☆31Updated 2 years ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆48Updated 10 months ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆82Updated 3 years ago