Alternatives and similar repositories for task_adaptation:

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

• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆264Updated 3 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆343Updated 8 months ago
• linusericsson / ssl-transfer
  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
  ☆183Updated last year
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆289Updated 2 months ago
• modestyachts / ImageNetV2
  A new test set for ImageNet
  ☆249Updated last year
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆109Updated 4 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆586Updated 3 years ago
• modestyachts / imagenet-testbed
  ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
  ☆118Updated last year
• facebookresearch / Adversarial-Continual-Learning
  Implementation for the paper "Adversarial Continual Learning" in PyTorch.
  ☆254Updated last year
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 4 years ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆537Updated 3 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆266Updated 3 years ago
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆343Updated 5 years ago
• MadryLab / backgrounds_challenge
  ☆140Updated 4 years ago
• facebookresearch / TorchRay
  Understanding Deep Networks via Extremal Perturbations and Smooth Masks
  ☆345Updated 4 years ago
• google-research / reassessed-imagenet
  Labels and other data for the paper "Are we done with ImageNet?"
  ☆190Updated 3 years ago
• yaox12 / BYOL-PyTorch
  PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
  ☆81Updated 4 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆488Updated last year
• WangYueFt / rfs
  ☆370Updated 4 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆986Updated 3 weeks ago
• facebookresearch / suncet
  Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…
  ☆487Updated last year
• mtoneva / example_forgetting
  ☆175Updated 8 months ago
• microsoft / esvit
  EsViT: Efficient self-supervised Vision Transformers
  ☆410Updated last year
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆563Updated last year
• davidbau / dissect
  Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…
  ☆303Updated 4 years ago
• naver-ai / relabel_imagenet
  ☆403Updated 2 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆269Updated 2 years ago
• yaoyao-liu / mini-imagenet-tools
  Tools for generating mini-ImageNet dataset and processing batches
  ☆442Updated 4 years ago
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆129Updated 3 years ago