Alternatives and similar repositories for SparseScatNet:

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

• alelab-upenn / graph-scattering-transforms
  Code for experimentation on graph scattering transforms
  ☆27Updated 5 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆45Updated last year
• avirmaux / lipEstimation
  ☆58Updated last year
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated 10 months ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 4 years ago
• kimiandj / gsw
  ☆39Updated 5 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆57Updated 6 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 8 months ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 2 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆77Updated 3 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆67Updated 5 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• GiulsLu / OT-gradients
  ☆12Updated 6 years ago
• ccha23 / MI-NEE
  Mutual Information Neural Entropic Estimation
  ☆27Updated last year
• thalitadru / LDMnet-pytorch
  Implementation of LDMnet in pytorch
  ☆22Updated 6 years ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆25Updated 5 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆43Updated 3 years ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• ykasten / Convergence-Rate-NN-Different-Frequencies
  ☆9Updated 5 years ago
• audeg / StochasticOT
  Stochastic Optimization for Optimal Transport
  ☆22Updated 8 years ago