Alternatives and similar repositories for deep-ei

Users that are interested in deep-ei are comparing it to the libraries listed below

• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆30Updated 5 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• isapome / BrainProp
  BrainProp: How the brain can implement reward-based error backpropagation
  ☆16Updated 2 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• f-dangel / hbp
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆20Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆34Updated 3 years ago
• petered / uoro-demo
  ☆17Updated 4 years ago
• choidami / sst
  ☆50Updated 4 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆72Updated 9 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆125Updated last year
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆46Updated 3 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆33Updated 5 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆20Updated 3 years ago
• google-deepmind / mc_gradients
  ☆169Updated last year
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆48Updated 3 years ago
• akshayka / hessian_trace_estimation
  Hessian trace estimation using PyTorch and Hutch++
  ☆19Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆45Updated 6 years ago
• mfinzi / residual-pathway-priors
  ☆20Updated 3 years ago
• ok1zjf / LBAE
  PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"
  ☆24Updated 4 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago