Alternatives and similar repositories for Compositional-Attention

Users that are interested in Compositional-Attention are comparing it to the libraries listed below

• 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
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated last year
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆105Updated 4 years ago
• lucidrains / memformer
  Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
  ☆119Updated 4 years ago
• google-research / head2toe
  ☆81Updated 11 months ago
• ischlag / Fast-Weight-Memory-public
  Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
  ☆28Updated 4 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 2 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 11 months ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• lucidrains / ponder-transformer
  Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
  ☆81Updated 3 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• s-nlp / certain-transformer
  How certain is your transformer?
  ☆25Updated 4 years ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆101Updated 2 years ago
• CyndxAI / QKNorm
  Code for the paper "Query-Key Normalization for Transformers"
  ☆43Updated 4 years ago
• lucidrains / learning-to-expire-pytorch
  An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
  ☆34Updated 4 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆59Updated 3 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 11 months ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆33Updated last month
• joshr17 / IFM
  Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.
  ☆47Updated 3 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆74Updated 4 years ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago
• zhangjiong724 / spectral-RNN
  STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
  ☆16Updated 7 years ago
• PAL-ML / PEARL_v1
  ☆30Updated 3 years ago
• cpcp1998 / PermuteFormer
  Code for the paper PermuteFormer
  ☆42Updated 3 years ago