Alternatives and similar repositories for analyzing_inverse_problems

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

• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆71Updated 2 years ago
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆22Updated 4 years ago
• vislearn / conditional_INNs
  Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
  ☆102Updated 5 years ago
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆57Updated last year
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• ComputationalRadiationPhysics / InFlow
  ☆11Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• massastrello / awesome-implicit-neural-models
  ☆105Updated 4 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• vislearn / inn_toy_data
  Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods
  ☆12Updated 4 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆41Updated 4 years ago
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆82Updated 4 years ago
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆65Updated last year
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆57Updated 2 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆50Updated 2 years ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆141Updated last year
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆78Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆41Updated 3 years ago
• BensonRen / BDIMNNA
  ☆22Updated last year
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆82Updated last year
• joaquimcampos / DeepSplines
  Learning Activation Functions in Deep (Spline) Neural Networks
  ☆29Updated 2 years ago
• Era-Dorta / tf_mvg
  Multivariate Gaussian distributions for Tensorflow.
  ☆23Updated 5 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆38Updated 3 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆59Updated 2 years ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆91Updated last year
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆92Updated 3 years ago
• thegialeo / Training-Invertible-Neural-Networks-as-Autoencoders
  ☆20Updated 2 years ago