Alternatives and similar repositories for NeuPRINT:

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

• 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…
  ☆63Updated 2 months ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated 5 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆98Updated 2 months ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆63Updated 3 weeks ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 9 months ago
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆21Updated 4 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 6 months ago
• ShanechiLab / torchDFINE
  ☆29Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆16Updated 3 months ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆34Updated last year
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 3 weeks ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆11Updated 2 weeks ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• 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
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆57Updated 4 months ago
• ShanechiLab / DPAD
  ☆49Updated 6 months ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆49Updated 7 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆50Updated last month
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆30Updated 2 years ago
• LiuLab-Bioelectronics-Harvard / SpikeAgent
  SpikeAgent is a multimodal LLM-based AI agent that automates and standardizes the spike sorting pipeline
  ☆40Updated 2 weeks ago
• ariaaay / clip2brain
  Code from paper "Natural language supervision with a large and diverse dataset builds better models of human high-level visual cortex"
  ☆22Updated last year
• KrishnaswamyLab / TPHATE
  ☆23Updated 2 months ago
• snel-repo / falcon-challenge
  ☆14Updated 3 weeks ago
• zashwood / ssm
  Bayesian learning and inference for state space models
  ☆13Updated 3 years ago
• cajal / fnn
  Foundation neural network
  ☆10Updated last week
• 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
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated last month
• jbakermans / state-space-composition
  Models and simulations for state space composition
  ☆16Updated 4 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆136Updated 8 months ago