Alternatives and similar repositories for hopfield-layers

Users that are interested in hopfield-layers are comparing it to the libraries listed below

• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,622Updated 3 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,354Updated last year
• idiap / fast-transformers
  Pytorch library for fast transformer implementations
  ☆1,724Updated 2 years ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,732Updated last week
• google-research / long-range-arena
  Long Range Arena for Benchmarking Efficient Transformers
  ☆759Updated last year
• lucidrains / performer-pytorch
  An implementation of Performer, a linear attention-based transformer, in Pytorch
  ☆1,138Updated 3 years ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,125Updated last year
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,435Updated last year
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆819Updated last month
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆755Updated 3 years ago
• harvardnlp / pytorch-struct
  Fast, general, and tested differentiable structured prediction in PyTorch
  ☆1,114Updated 3 years ago
• pbloem / former
  Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)
  ☆1,087Updated 3 months ago
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,434Updated 2 months ago
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,060Updated this week
• lucidrains / perceiver-pytorch
  Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
  ☆1,157Updated last year
• lucidrains / reformer-pytorch
  Reformer, the efficient Transformer, in Pytorch
  ☆2,174Updated 2 years ago
• microsoft / mup
  maximal update parametrization (µP)
  ☆1,558Updated last year
• parrt / tensor-sensor
  The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…
  ☆810Updated 3 years ago
• state-spaces / s4
  Structured state space sequence models
  ☆2,684Updated last year
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆786Updated last year
• juntang-zhuang / Adabelief-Optimizer
  Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
  ☆1,063Updated 11 months ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆952Updated last month
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,508Updated last year
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,273Updated last year
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,107Updated this week
• openai / sparse_attention
  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
  ☆1,580Updated 4 years ago
• nnaisense / evotorch
  Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
  ☆1,068Updated 3 weeks ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆873Updated 5 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆687Updated 3 years ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆963Updated 2 weeks ago