Alternatives and similar repositories for mdeq

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

• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆264Updated 2 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆255Updated 2 years ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated last year
• happenwah / FVI_CV
  Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
  ☆68Updated 4 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆527Updated 10 months ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• LeviViana / torch_sampling
  Efficient reservoir sampling implementation for PyTorch
  ☆106Updated 3 years ago
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆100Updated 4 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated last year
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆128Updated last year
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• massastrello / awesome-implicit-neural-models
  ☆101Updated 4 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆750Updated 2 years ago
• HaozhiQi / ISONet
  Deep Isometric Learning for Visual Recognition (ICML 2020)
  ☆143Updated 3 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• zzd1992 / Image-Local-Attention
  A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.
  ☆141Updated 3 years ago
• PolinaKirichenko / flows_ood
  ☆87Updated 3 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago
• applied-ai-lab / genesis
  Official PyTorch implementation of GENESIS and GENESIS-V2
  ☆110Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆92Updated 6 years ago
• cwkx / GON
  Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
  ☆161Updated 4 years ago
• lucidrains / glom-pytorch
  An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…
  ☆194Updated 4 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆293Updated last month
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆179Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 10 months ago