Alternatives and similar repositories for ImageNetV2_pytorch:

Users that are interested in ImageNetV2_pytorch are comparing it to the libraries listed below

• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆33Updated last year
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆18Updated 2 months ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆56Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆68Updated 3 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated last year
• naver / cog
  ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…
  ☆24Updated 3 years ago
• YugeTen / adios
  ☆63Updated 2 years ago
• piotr-teterwak / erm_plusplus
  ☆15Updated 7 months ago
• Annusha / temperature_schedules
  Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)
  ☆18Updated last year
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆49Updated last year
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆31Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆33Updated 5 months ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆44Updated last year
• abarbu / objectnet-template-pytorch
  baseline mode for the ObjectNet competition
  ☆17Updated 4 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆57Updated last year
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆38Updated 3 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆77Updated 2 years ago
• tsb0601 / MultiMon
  ☆23Updated last year
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 2 years ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆50Updated 5 months ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆62Updated last year
• bfshi / VARS
  Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
  ☆35Updated 2 years ago