Alternatives and similar repositories for affinewarp

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

• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆97Updated 9 months ago
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆194Updated this week
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆80Updated 8 months ago
• Eden-Kramer-Lab / spectral_connectivity
  Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
  ☆127Updated last year
• pillowlab / GLMspiketraintutorial
  Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data
  ☆94Updated 2 years ago
• BlohmLab / NSCI801-QuantNeuro
  NSCI 801 (Queen's U) Quantitative Neuroscience course materials
  ☆111Updated 3 months ago
• FeeLab / seqNMF
  An algorithm for unsupervised discovery of sequential structure
  ☆164Updated last year
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆70Updated 5 years ago
• MouseLand / rastermap
  a visualization method for neural data
  ☆222Updated last month
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆53Updated 4 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆51Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆51Updated 2 years ago
• nsteinme / steinmetz-et-al-2019
  Code accompanying Steinmetz et al., 2019
  ☆59Updated 3 years ago
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆225Updated 3 years ago
• gyyang / multitask
  Code for Task representations in neural networks trained to perform many cognitive tasks
  ☆164Updated 6 years ago
• jonescompneurolab / hnn
  The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…
  ☆85Updated 11 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 10 months ago
• snel-repo / neural-data-transformers
  ☆77Updated 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
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆97Updated this week
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated last week
• NeuralEnsemble / elephant
  Elephant is the Electrophysiology Analysis Toolkit
  ☆211Updated last month
• nicholas-roy / psytrack
  ☆52Updated 2 months ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆66Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆98Updated 3 months ago
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆40Updated 5 years ago
• j-friedrich / OASIS
  Deconvolution of calcium imaging data
  ☆94Updated 3 months ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆68Updated 5 years ago
• themattinthehatt / behavenet
  Toolbox for analyzing behavioral videos and neural activity
  ☆59Updated last year