AntixK / PyTorch-Model-Compare

Related projects ⓘ

Alternatives and complementary repositories for PyTorch-Model-Compare

• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆170Updated 9 months ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆289Updated 4 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆336Updated 3 months ago
• facebookresearch / FFCV-SSL
  FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
  ☆203Updated last year
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆192Updated 6 months ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆82Updated 3 years ago
• SamsungLabs / ASAM
  Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
  ☆140Updated 3 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆136Updated 6 months ago
• google-research / sam
  ☆566Updated 3 weeks ago
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆255Updated 3 years ago
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆163Updated 4 months ago
• mlfoundations / model-soups
  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
  ☆429Updated 4 months ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆211Updated last year
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆316Updated 2 years ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆303Updated 11 months ago
• deeplearning-wisc / knn-ood
  Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
  ☆175Updated 4 months ago
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆806Updated 2 years ago
• GeorgeCazenavette / mtt-distillation
  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
  ☆400Updated 4 months ago
• juntang-zhuang / GSAM
  PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)
  ☆138Updated 2 years ago
• yhlleo / VTs-Drloc
  NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆139Updated last year
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆335Updated 4 years ago
• IcarusWizard / MAE
  PyTorch implementation of Masked Autoencoder
  ☆232Updated last year
• facebookresearch / msn
  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
  ☆449Updated 2 years ago
• samiraabnar / attention_flow
  ☆220Updated 3 years ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆252Updated last week
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆76Updated 2 years ago
• mansheej / data_diet
  ☆103Updated last year
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆687Updated 7 months ago
• Continvvm / continuum
  A clean and simple data loading library for Continual Learning
  ☆416Updated last year
• SHI-Labs / Compact-Transformers
  Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
  ☆500Updated 2 weeks ago