Alternatives and similar repositories for BrainProp

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

• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• miskcoo / kscore
  Nonparametric Score Estimators, ICML 2020
  ☆36Updated 4 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 8 months ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 3 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• yjhuangcd / CNNF
  Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).
  ☆22Updated 4 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated 11 months ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆45Updated 3 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 5 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆47Updated last year
• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated 2 years ago
• willwx / sign-symmetry
  ☆28Updated 6 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• petered / uoro-demo
  ☆17Updated 4 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆42Updated 2 years ago
• lightonai / dfa-scales-to-modern-deep-learning
  Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…
  ☆88Updated 3 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆107Updated last year
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• tudor-berariu / fisher-information-matrix
  PyTorch implementation of FIM and empirical FIM
  ☆61Updated 7 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆63Updated 4 years ago