Alternatives and similar repositories for sparsecoding:

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

• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆132Updated 7 months ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆71Updated 3 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆61Updated 2 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• dtyulman / hebbff
  Meta-learning local synaptic plasticity for continual familiarity detection
  ☆16Updated 2 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆94Updated 7 months ago
• sompolinsky-lab / dnn-object-manifolds
  ☆47Updated 3 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆34Updated 6 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆53Updated 3 months ago
• snel-repo / neural-data-transformers
  ☆75Updated 3 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated 2 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆48Updated last year
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆51Updated 3 years ago
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆41Updated 3 years ago
• 8erberg / NeuroAI_Trainee_Resources
  ☆72Updated last month
• cvai-roig-lab / Net2Brain
  ☆72Updated last week
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆60Updated last year
• Dynamics-of-Neural-Systems-Lab / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆58Updated last month
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• AdaptiveMotorControlLab / cebra-figures
  Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
  ☆19Updated last year
• ShahabBakht / ventral-dorsal-model
  ☆22Updated 3 years ago
• FieteLab / SPUD_Analysis-of-manifold-structure-in-head-direction-data
  ☆9Updated 3 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• jbakermans / torch_tem
  Implementation of the Tolman Eichenbaum Machine in pytorch
  ☆150Updated 2 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• schung039 / neural_manifolds_replicaMFT
  ☆70Updated 2 years ago
• ellie-as / generative-memory
  ☆30Updated last year