Alternatives and similar repositories for generative-memory

Users that are interested in generative-memory are comparing it to the libraries listed below

• jbakermans / torch_tem
  Implementation of the Tolman Eichenbaum Machine in pytorch
  ☆157Updated 3 years ago
• djcrw / generalising-structural-knowledge
  ☆194Updated 2 years ago
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆232Updated 3 years ago
• neurogym / neurogym
  A curated collection of neuroscience tasks with a common interface.
  ☆293Updated 2 weeks ago
• jbakermans / state-space-composition
  Models and simulations for state space composition
  ☆21Updated 8 months ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆88Updated 4 years ago
• RatInABox-Lab / RatInABox
  A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
  ☆233Updated last month
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆65Updated last week
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆63Updated 2 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated last year
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆139Updated last year
• brain-score / vision
  A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)
  ☆155Updated this week
• CYHSM / awesome-neuro-ai-papers
  Papers from the intersection of deep learning and neuroscience
  ☆422Updated this week
• ShahabBakht / ventral-dorsal-model
  ☆23Updated 3 years ago
• francesco-innocenti / Neuro_AI_Papers
  A curated repository of Neuro-AI papers.
  ☆45Updated 3 years ago
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆10Updated 5 months ago
• gyyang / multitask
  Code for Task representations in neural networks trained to perform many cognitive tasks
  ☆167Updated 6 years ago
• RobertRosenbaum / ModelingNeuralCircuits
  Code to accompany the textbook "Modeling Neural Circuits Made Simple"
  ☆154Updated last year
• snel-repo / neural-data-transformers
  ☆79Updated 3 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 4 months ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆52Updated 9 months ago
• ckaraneen / neuroaid
  Papers and other material for getting started with Neuro-AI!
  ☆53Updated 2 years ago
• ComputationalPsychiatry / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆91Updated 2 months ago
• infer-actively / pypc
  Predictive coding in Python
  ☆67Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated 4 months 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
  ☆42Updated 3 years ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆51Updated last year
• 8erberg / NeuroAI_Trainee_Resources
  ☆81Updated 5 months ago