Alternatives and similar repositories for higher

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

• tristandeleu / pytorch-meta
  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
  ☆2,047Updated 2 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,407Updated 4 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆767Updated 3 years ago
• learnables / learn2learn
  A PyTorch Library for Meta-learning Research
  ☆2,839Updated last year
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,003Updated 4 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆590Updated 9 months ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆881Updated 5 years ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,164Updated 2 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,358Updated last year
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,533Updated 3 months ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 3 years ago
• AntreasAntoniou / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆815Updated last year
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆379Updated last year
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆834Updated 3 months ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,741Updated last month
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,071Updated 3 weeks ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆989Updated last month
• google-research / meta-dataset
  A dataset of datasets for learning to learn from few examples
  ☆790Updated last year
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,141Updated last year
• optimass / continual_learning_papers
  Relevant papers in Continual Learning
  ☆738Updated 2 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆698Updated 2 months ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆612Updated last year
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆632Updated 3 years ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,279Updated 2 years ago
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆237Updated 5 years ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,133Updated last month
• google-research / sam
  ☆605Updated last month
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,991Updated last year
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,437Updated last month