AntixK / PyTorch-Model-Compare

Related projects: ⓘ

• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆274Updated 4 years ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆167Updated 7 months ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆187Updated 4 months ago
• facebookresearch / FFCV-SSL
  FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
  ☆199Updated last year
• google-research / sam
  ☆552Updated last month
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆201Updated 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!)
  ☆492Updated last year
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆293Updated 9 months ago
• SamsungLabs / ASAM
  Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.
  ☆137Updated 3 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆333Updated last month
• GeorgeCazenavette / mtt-distillation
  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
  ☆389Updated 2 months ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆135Updated 4 months ago
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆806Updated 2 years ago
• facebookresearch / msn
  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
  ☆447Updated 2 years ago
• yhlleo / VTs-Drloc
  NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
  ☆138Updated last year
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆250Updated 3 years ago
• samiraabnar / attention_flow
  ☆205Updated 3 years ago
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆311Updated last year
• microsoft / esvit
  EsViT: Efficient self-supervised Vision Transformers
  ☆407Updated last year
• Reza-Safdari / SimSiam-91.9-top1-acc-on-CIFAR10
  Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.
  ☆64Updated 3 years ago
• IgorSusmelj / barlowtwins
  Implementation of Barlow Twins paper
  ☆99Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆155Updated 2 months ago
• kkirchheim / pytorch-ood
  👽 Out-of-Distribution Detection with PyTorch
  ☆235Updated 2 weeks ago
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆332Updated 4 years ago
• leftthomas / SimCLR
  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆535Updated 4 years ago
• mlfoundations / model-soups
  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
  ☆409Updated 2 months ago
• VICO-UoE / DatasetCondensation
  Dataset Condensation (ICLR21 and ICML21)
  ☆472Updated 9 months ago
• IcarusWizard / MAE
  PyTorch implementation of Masked Autoencoder
  ☆214Updated last year
• SforAiDl / KD_Lib
  A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…
  ☆594Updated last year
• google-research / task_adaptation
  ☆307Updated 6 months ago