Alternatives and similar repositories for DeepSparseCoding

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

• willwx / sign-symmetry
  ☆28Updated 6 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆72Updated 9 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• abietti / ckn_kernel
  computation of convolutional kernels (CKN and NTK) in C++
  ☆14Updated 2 years ago
• ansuini / IntrinsicDimDeep
  Code for the intrinsic dimensionality estimate of data representations
  ☆83Updated 5 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 3 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆40Updated 2 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆32Updated 10 months ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 5 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 4 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆65Updated 7 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• iffsid / DReG-PyTorch
  A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"
  ☆18Updated 5 years ago
• capybaralet / REx_code_release
  ☆63Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• dicarlolab / vonenet
  Repository for VOneNet models
  ☆117Updated 7 months ago
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 4 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆74Updated 3 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆123Updated 4 years ago
• gkdziugaite / pacbayes-opt
  Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
  ☆28Updated 4 years ago
• artemyk / ibsgd
  ☆152Updated 5 years ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year
• makezur / information_bottleneck_pytorch
  Project for the Large Scale Optimization course at Skoltech
  ☆23Updated 6 years ago