Alternatives and similar repositories for stochsearch

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

• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆43Updated 3 years ago
• kaiu85 / deepAI_paper
  ☆29Updated 5 years ago
• AidanRocke / Free_Energy_experiments
  An exploration of the free energy principle using deep reinforcement learning
  ☆48Updated 7 years ago
• piantado / LOTlib
  Lanugage of Thought (LOT) models in Python.
  ☆33Updated 5 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆114Updated last year
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• kaiu85 / deepAI
  ☆16Updated 7 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆156Updated 4 years ago
• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆40Updated 7 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆36Updated 6 years ago
• zfountas / deep-active-inference-mc
  Deep active inference agents using Monte-Carlo methods
  ☆89Updated 3 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• chrhartm / SORN
  Self-Organizing Recurrent Neural Network
  ☆8Updated 9 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆77Updated 5 years ago
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆20Updated 5 years ago
• tejparr / nmpassing
  neuronal message passing
  ☆17Updated 6 years ago
• drasmuss / nhrlmodel
  Neural model of hierarchical reinforcement learning
  ☆16Updated 7 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆18Updated 4 years ago
• willwx / sign-symmetry
  ☆28Updated 6 years ago
• mattjj / pyslds
  ☆96Updated 6 years ago
• nengo / nengo-gui
  Nengo interactive visualizer
  ☆107Updated last week
• earcher / vilds
  Black box variational inference for state space models
  ☆2Updated 8 years ago
• vicariousinc / schema-games
  General Game Playing with Schema Networks
  ☆41Updated 2 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• KennethEnevoldsen / tomsup
  tomsup 👍 Theory of Mind Simulation using Python. A package that allows for easy agent-based modelling of recursive Theory of Mind
  ☆68Updated last year
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago