Alternatives and similar repositories for repsim

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

• arsedler9 / nlb-lightning
  PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.
  ☆8Updated 2 years ago
• dieterichlawson / snax
  ☆12Updated last year
• f-dangel / einconv
  Convolutions and more as einsum for PyTorch
  ☆16Updated last year
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆59Updated last year
• ag1988 / dlr
  The accompanying code for "Simplifying and Understanding State Space Models with Diagonal Linear RNNs" (Ankit Gupta, Harsh Mehta, Jonatha…
  ☆21Updated 2 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 3 years ago
• f-dangel / sirfshampoo
  [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)
  ☆14Updated 7 months ago
• gisilvs / AEF
  ☆33Updated 2 years 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
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆25Updated last year
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 7 months ago
• oizumi-lab / GWTune
  ☆20Updated 4 months ago
• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 4 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 3 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• FutureComputing4AI / Learning-with-Holographic-Reduced-Representations
  ☆29Updated 3 years ago
• BGU-CS-VIL / dpmmpythonStreaming
  Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
  ☆14Updated 2 years ago
• ANazaret / unbounded-depth-neural-networks
  Implementation of the unbounded depth neural network from the paper Variational Inference for Infinitely Deep Neural Networks
  ☆17Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• UniReps / UniReps-resources
  ☆18Updated last year
• aripakman / neural_clustering_process
  Implementation of the Neural Clustering Process algorithm in Pytorch
  ☆31Updated 4 years ago
• isapome / BrainProp
  BrainProp: How the brain can implement reward-based error backpropagation
  ☆16Updated 2 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• ejmichaud / grokking-squared
  ☆26Updated 2 years ago
• ernoult / targetProp
  Testing Difference Target Propagation (DTP) on MNIST.
  ☆12Updated 4 years ago
• kuffmode / msa
  Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
  ☆18Updated last year
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago