Alternatives and similar repositories for OPT

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

• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆37Updated last year
• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆32Updated last year
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated 2 years ago
• Optimization-AI / SogCLR
  Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
  ☆20Updated 2 years ago
• hammoudhasan / DiversitySSL
  Original code base for On Pretraining Data Diversity for Self-Supervised Learning
  ☆14Updated last year
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 4 years ago
• BramSW / task_characterization_cvpr_2021
  Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)
  ☆11Updated 4 years ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆31Updated 2 years ago
• VITA-Group / Diverse-ViT
  [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…
  ☆25Updated 3 years ago
• ggjy / vision_weak_to_strong
  ☆38Updated 2 years ago
• JindongGu / SimDis
  A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models
  ☆14Updated 4 years ago
• tsb0601 / MultiMon
  ☆25Updated 2 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆68Updated 3 years ago
• mwalmer-umd / vit_analysis
  ☆35Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆69Updated 2 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆42Updated 2 years ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆80Updated 3 years ago
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆71Updated 4 years ago
• VILA-Lab / i-mae
  i-mae Pytorch Repo
  ☆20Updated last year
• yulonghui / MOCA
  Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]
  ☆16Updated 2 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• facebookresearch / asym-siam
  PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)
  ☆99Updated 3 years ago
• liruiw / Dec-SSL
  Understanding Self-Supervised Learning in a non-IID Setting
  ☆21Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆53Updated 3 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated 2 years ago