Alternatives and similar repositories for ComplexAutoEncoder:

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

• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆96Updated 3 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆50Updated 6 months ago
• yubeic / Sparse-Coding
  This code implements sparse coding in PyTorch with GPU support.
  ☆30Updated 3 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…
  ☆119Updated 2 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆122Updated last year
• akandykeller / SelfNormalizingFlows
  ☆67Updated 2 years ago
• DSL-Lab / GRBM
  Gaussian-Bernoulli Restricted Boltzmann Machines
  ☆102Updated 2 years ago
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆69Updated 3 weeks ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 4 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆122Updated 3 years ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆97Updated 2 years ago
• wgrathwohl / VERA
  ☆63Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆136Updated 3 years ago
• lucidrains / complex-valued-transformer
  Implementation of the transformer proposed in "Building Blocks for a Complex-Valued Transformer Architecture"
  ☆69Updated last year
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆39Updated 2 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆122Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆82Updated 3 years ago
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆73Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 3 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 6 months ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated 9 months ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 9 months ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆146Updated 2 years ago