Alternatives and similar repositories for pychuriso

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

• piantado / LOTlib
  Lanugage of Thought (LOT) models in Python.
  ☆33Updated 5 years ago
• markkho / value-guided-construal
  Code and data for People construct simplified mental representations to plan
  ☆23Updated last year
• piantado / LOTlib3
  Language of thought library for python 3
  ☆48Updated last year
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆36Updated 6 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆77Updated 3 years ago
• piantado / Fleet
  ☆61Updated this week
• ProjectSEM / SEM
  ☆14Updated 5 years ago
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆20Updated 5 years ago
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆13Updated 3 years ago
• BasisResearch / collab-creatures
  Analyzing animal collaboration with Bayesian and causal inference.
  ☆10Updated last month
• tejparr / nmpassing
  neuronal message passing
  ☆17Updated 6 years ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆40Updated 7 years ago
• mcfrank / rules
  Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition
  ☆13Updated 10 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆33Updated 2 months ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• RichardEvans / apperception
  ☆79Updated 4 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• jakdot / pyactr
  Python package for ACT-R cognitive models
  ☆154Updated last month
• clbaker / BToM
  ☆33Updated 8 years ago
• miyosuda / predictive_coding
  Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects
  ☆24Updated 5 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• taylorwwebb / emergent_symbols
  Code for 'Emergent Symbols through Binding in External Memory'.
  ☆20Updated 2 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆28Updated 6 years ago
• kaiu85 / deepAI_paper
  ☆29Updated 5 years ago
• mattgolub / bci_learning
  Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.
  ☆22Updated 6 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆97Updated 9 months ago