Alternatives and similar repositories for pyrl

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

• pauljaffe / task-dyva
  ☆16Updated 11 months ago
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆28Updated last year
• nicholas-roy / psytrack
  ☆54Updated 6 months ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 8 years ago
• JohnGriffiths / mne-dcm
  Dynamic Causal Modelling for MNE and the nipy ecosystem
  ☆22Updated 7 years ago
• m-guggenmos / remeta
  Reverse engineering of Metacognition toolbox
  ☆18Updated last month
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆44Updated last year
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆39Updated last year
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated 2 years ago
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆31Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• ShanechiLab / DynamicStimulation
  ☆18Updated 4 years ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆19Updated 4 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 3 weeks ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆54Updated 6 months ago
• gallantlab / tikreg
  Tikhonov regression in python
  ☆32Updated last year
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆83Updated last month
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 4 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• flatironinstitute / ironclust
  Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)
  ☆28Updated 3 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆26Updated 3 months ago
• mwshinn / PyDDM
  A drift-diffusion modeling (DDM) framework for Python
  ☆100Updated last month
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• BenjoCowley / DataHigh
  DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
  ☆17Updated 6 years ago