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
  ☆2,041Updated 2 years ago
• learnables / learn2learn
  A PyTorch Library for Meta-learning Research
  ☆2,823Updated last year
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,404Updated 4 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆827Updated 2 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆588Updated 7 months ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,279Updated last year
• 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…
  ☆811Updated last year
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,064Updated last year
• google-research / meta-dataset
  A dataset of datasets for learning to learn from few examples
  ☆786Updated last year
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆757Updated 3 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,005Updated 4 years ago
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,158Updated 3 weeks ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,736Updated 2 weeks ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆608Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆876Updated 5 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,357Updated last year
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆633Updated 2 years ago
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,048Updated 3 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,524Updated 2 months ago
• harvardnlp / pytorch-struct
  Fast, general, and tested differentiable structured prediction in PyTorch
  ☆1,113Updated 3 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆376Updated last year
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,135Updated last year
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,706Updated this week
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆570Updated 4 years ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,987Updated last year
• tristandeleu / pytorch-maml
  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
  ☆237Updated 5 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆810Updated 6 years ago
• idiap / fast-transformers
  Pytorch library for fast transformer implementations
  ☆1,727Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆424Updated 2 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆967Updated 2 weeks ago