Alternatives and similar repositories for ACT

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

• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 4 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆95Updated 3 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆97Updated 7 years ago
• google-deepmind / slim-dataset
  Datasets used to train Spatial Language Integrating Model (SLIM) in the ‘Encoding Spatial Relations from Natural Language’ paper.
  ☆36Updated 7 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆132Updated 6 years ago
• srush / parallax
  ☆153Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• greentfrapp / attention-primer
  A demonstration of the attention mechanism with some toy experiments and explanations.
  ☆107Updated 7 years ago
• Epistimio / orion
  Asynchronous Distributed Hyperparameter Optimization.
  ☆300Updated last month
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 5 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆279Updated 3 years ago
• google-deepmind / dm_memorytasks
  A set of 13 diverse machine-learning tasks that require memory to solve.
  ☆225Updated 4 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• ischlag / TPR-RNN
  Code for the publication Learning to Reason with Third-Order Tensor Products.
  ☆41Updated 6 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• ixaxaar / pytorch-dnc
  Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch
  ☆347Updated this week
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• vlgiitr / ntm-pytorch
  Neural Turing Machines in Pytorch.
  ☆46Updated 7 years ago
• viking-sudo-rm / StackNN
  Experiments with differentiable stacks and queues in PyTorch
  ☆145Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆147Updated 4 years ago
• google-deepmind / abstract-reasoning-matrices
  Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillic…
  ☆182Updated 6 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆81Updated last year
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• dylandjian / retro-contest-sonic
  World Models applied to the Open AI Sonic Retro Contest
  ☆77Updated 7 years ago
• cybertronai / transformer-xl
  Training Transformer-XL on 128 GPUs
  ☆141Updated 5 years ago
• cybertronai / ncluster
  Lightweight interface to AWS
  ☆47Updated 6 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆219Updated 6 years ago