Alternatives and similar repositories for pytorch-resample

Users that are interested in pytorch-resample are comparing it to the libraries listed below

• pietrolesci / energizer
  An active learning library for Pytorch based on Lightning-Fabric.
  ☆79Updated last year
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆95Updated 3 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 4 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• enochkan / torch-metrics
  Metrics for model evaluation in pytorch
  ☆110Updated 4 years ago
• borisdayma / lightning-kitti
  Semantic Segmentation with Pytorch-Lightning
  ☆63Updated 4 years ago
• rasbt / cyclemoid-pytorch
  Cyclemoid implementation for PyTorch
  ☆90Updated 3 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆79Updated 3 years ago
• tmbdev-archive / pytorch-imagenet-wds
  ☆25Updated 4 years ago
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆66Updated 5 months ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆85Updated 4 years ago
• lucidrains / contrastive-learner
  A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
  ☆150Updated 4 years ago
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆118Updated 4 years ago
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• mpatacchiola / self-supervised-relational-reasoning
  Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
  ☆143Updated last year
• hankyul2 / DomainAdaptation
  Domain Adaptation
  ☆23Updated 4 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• alextamkin / dabs
  A Domain-Agnostic Benchmark for Self-Supervised Learning
  ☆108Updated 2 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• pengyan510 / torcheck
  ☆36Updated 3 years ago
• sicara / gpumonitor
  TF 2.x and PyTorch Lightning Callbacks for GPU monitoring
  ☆92Updated 5 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year
• lessw2020 / Best-Deep-Learning-Optimizers
  Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
  ☆217Updated 4 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 5 years ago
• ryul99 / pytorch-project-template
  Deep Learning project template for PyTorch (multi-gpu training is supported)
  ☆138Updated 2 years ago
• lucidrains / glom-pytorch
  An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…
  ☆194Updated 4 years ago