nateraw / huggingface-vit-finetune
Finetune Google's pre-trained ViT models from HuggingFace's model hub.
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for huggingface-vit-finetune
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆124Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆20Updated last year
- ☆102Updated last year
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆80Updated 2 years ago
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 4 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- ☆58Updated last year
- Recycling diverse models☆43Updated last year
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆43Updated last year
- ☆96Updated 2 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated last year
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- Code for T-MARS data filtering☆35Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆37Updated last year
- [ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang☆25Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆76Updated 2 years ago
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆108Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated last year
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆32Updated 2 months ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆100Updated 2 years ago
- Official Implementation for PlugIn Inversion☆15Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- A simple and efficient baseline for data attribution☆11Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago