Alternatives and similar repositories for BalancingVAE

Users that are interested in BalancingVAE are comparing it to the libraries listed below

• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆82Updated last year
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 5 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• liu-ziyin / NeurIPS_2020_Snake
  ☆31Updated 3 years ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆39Updated 2 years ago
• SarthakYadav / audax
  A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.
  ☆68Updated 3 years ago
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆79Updated 4 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆70Updated 3 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆27Updated 4 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated last year
• changyi7231 / MEF
  A PyTorch implementation of Generative Flows with Matrix Exponential.
  ☆11Updated 10 months ago
• EdwardDixon / snake
  Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"
  ☆67Updated 3 weeks ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆168Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• robert-giaquinto / gradient-boosted-normalizing-flows
  We got a stew going!
  ☆27Updated last year
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 4 years ago
• aliutkus / swf
  ☆15Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• google-research / soft-dtw-divergences
  An implementation of soft-DTW divergences.
  ☆135Updated 3 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆66Updated 4 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆82Updated 5 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago