Alternatives and similar repositories for ntm

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

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated last year
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• srush / parallax
  ☆153Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 4 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆96Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆243Updated 4 years ago
• louislva / deepmind-perceiver
  My implementation of DeepMind's Perceiver
  ☆63Updated 4 years ago
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆65Updated 3 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆112Updated 3 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 weeks ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• srush / torch-queue
  ☆68Updated last year
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• uvm-neurobotics-lab / ANML
  A Neuromodulated Meta-Learning algorithm
  ☆116Updated 5 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆105Updated 4 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• lucidrains / HTM-pytorch
  Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
  ☆75Updated 3 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆106Updated 4 years ago