Alternatives and similar repositories for recurrent-fwp

Users that are interested in recurrent-fwp are comparing it to the libraries listed below

• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆108Updated 4 years ago
• lucidrains / HTM-pytorch
  Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
  ☆76Updated 4 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• lucidrains / ponder-transformer
  Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
  ☆81Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆65Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆38Updated 2 years ago
• choidami / sst
  ☆50Updated 5 years ago
• RedRyan111 / GLOM
  An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.
  ☆57Updated 4 years ago
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆65Updated 4 years ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆96Updated 4 years ago
• PAL-ML / PEARL_v1
  ☆30Updated 3 years ago
• sarthmit / Compositional-Attention
  Code to reproduce the results for Compositional Attention
  ☆59Updated 3 years ago
• ml-jku / helm
  ☆57Updated last year
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 2 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• prajjwal1 / rl_paradigm
  ☆17Updated last year
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆58Updated 4 years ago
• thaihungle / SAM
  Self-attentive Associative Memory & SAM-based Two-Memory Model
  ☆59Updated 3 years ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆50Updated 3 years ago
• google-deepmind / affordances_option_models
  ☆23Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago