Alternatives and similar repositories for deepAI

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

• AidanRocke / Free_Energy_experiments
  An exploration of the free energy principle using deep reinforcement learning
  ☆48Updated 7 years ago
• tomekkorbak / active-inference
  A toy model of Friston's active inference in Tensorflow
  ☆41Updated 7 years ago
• piantado / LOTlib
  Lanugage of Thought (LOT) models in Python.
  ☆33Updated 5 years ago
• kaiu85 / deepAI_paper
  ☆29Updated 5 years ago
• tejparr / nmpassing
  neuronal message passing
  ☆17Updated 6 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆37Updated 6 years ago
• piantado / pychuriso
  Python implementation of churiso
  ☆18Updated 4 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆114Updated last year
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 2 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆37Updated 4 months ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• moridinamael / mc-aixi
  MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)
  ☆49Updated 14 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 5 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆32Updated 5 years ago
• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆58Updated 6 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• tobiasgerstenberg / webppl_tutorial
  Materials for webppl tutorial
  ☆52Updated 3 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆51Updated 5 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆92Updated 7 years ago
• drasmuss / nhrlmodel
  Neural model of hierarchical reinforcement learning
  ☆16Updated 7 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆43Updated 3 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆66Updated last year
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 5 years ago
• sgkasselau / pyaixi
  ☆43Updated 3 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago