Alternatives and similar repositories for dfa-scales-to-modern-deep-learning

Users that are interested in dfa-scales-to-modern-deep-learning are comparing it to the libraries listed below

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated last year
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated 2 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆37Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆148Updated 2 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆53Updated 4 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 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 last year
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• lightonai / principled-dfa-training
  Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).
  ☆23Updated 6 years ago
• briancheung / superposition
  ☆45Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆176Updated 2 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 6 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆50Updated 4 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆110Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆104Updated 5 years ago
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆51Updated last year
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 5 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆173Updated 6 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆27Updated 4 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆73Updated 9 years ago