Alternatives and similar repositories for stable-nalu

Users that are interested in stable-nalu are comparing it to the libraries listed below

• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 2 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 3 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆188Updated last year
• cybertronai / transformer-xl
  Training Transformer-XL on 128 GPUs
  ☆140Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• srush / parallax
  ☆153Updated 5 years ago
• ICLR / iclr.github.io
  ☆83Updated 5 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• srush / awesome-ml-tracking
  ☆103Updated 4 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆115Updated 6 years ago
• rizar / systematic-generalization-sqoop
  Code for "Systematic Generalization: What Is Required and Can It Be Learned"
  ☆37Updated 6 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• lilianweng / generalization-experiment
  TBA
  ☆76Updated 6 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆91Updated 4 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆126Updated 9 months ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 4 years ago
• BorealisAI / lite_tracer
  a light weight experiment reproducibility toolset
  ☆40Updated 4 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago