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
  ☆2,044Updated 2 years ago
• learnables / learn2learn
  A PyTorch Library for Meta-learning Research
  ☆2,831Updated last year
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆758Updated 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…
  ☆812Updated last year
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,160Updated last month
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,738Updated last week
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆589Updated 8 months ago
• google-research / meta-dataset
  A dataset of datasets for learning to learn from few examples
  ☆789Updated last year
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,136Updated last year
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆632Updated 3 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,529Updated 3 months ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,407Updated 4 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,358Updated last year
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,279Updated last year
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,061Updated 3 years ago
• harvardnlp / pytorch-struct
  Fast, general, and tested differentiable structured prediction in PyTorch
  ☆1,114Updated 3 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆877Updated 5 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆832Updated 3 months ago
• 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
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,067Updated last week
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆377Updated last year
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆608Updated last year
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆237Updated 5 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,438Updated 3 weeks ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,988Updated last year
• optimass / continual_learning_papers
  Relevant papers in Continual Learning
  ☆736Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 2 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated last month
• juntang-zhuang / Adabelief-Optimizer
  Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
  ☆1,064Updated last year
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆571Updated 4 years ago