Alternatives and similar repositories for scalingDTP:

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

• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆32Updated 4 months ago
• ernoult / targetProp
  Testing Difference Target Propagation (DTP) on MNIST.
  ☆12Updated 4 years ago
• EPFL-LCN / pub-illing2021-neurips
  Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…
  ☆24Updated 11 months ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• stephane-rivaud / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆12Updated last year
• Shiweiliuiiiiiii / Sparse_Topology_Distance
  [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"
  ☆12Updated 2 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆12Updated last year
• fKunstner / noise-sgd-adam-sign
  ☆16Updated last year
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆37Updated last year
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆25Updated 3 years ago
• NeuromorphicComputing / STPN
  ☆28Updated last year
• NeuromorphicComputing / SoftHebb
  ☆70Updated last year
• omihub777 / MLP-Mixer-CIFAR
  PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…
  ☆31Updated 3 years ago
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆14Updated 4 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆43Updated 3 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆48Updated last year
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 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…
  ☆87Updated 2 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• meulemansalex / deep_feedback_control
  Official code repository for the publication "Credit Assignment in Neural Networks through Deep Feedback Control".
  ☆10Updated 4 months ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• ml-research / self-expanding-neural-networks
  Self-Expanding Neural Networks
  ☆39Updated last year
• a554b554 / kWTA-Activation
  ☆47Updated 4 years ago
• nick11roberts / XD
  ☆11Updated 2 years ago
• mil-ad / prospr
  Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients
  ☆31Updated 2 years ago
• facebookresearch / projUNN
  Fast training of unitary deep network layers from low-rank updates
  ☆29Updated 2 years ago
• willwx / sign-symmetry
  ☆27Updated 5 years ago
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆54Updated 2 years ago
• pkuxmq / IDE-FSNN
  [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
  ☆28Updated 3 years ago