☆345Mar 11, 2026Updated last week
Alternatives and similar repositories for task_adaptation
Users that are interested in task_adaptation are comparing it to the libraries listed below
Sorting:
- A dataset of datasets for learning to learn from few examples☆799May 24, 2024Updated last year
- ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119☆1,213Sep 2, 2023Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated last year
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 2 years ago
- [ECCV 2022] Contrastive Prototypical Network with Wasserstein Confidence Penalty☆11Oct 20, 2022Updated 3 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Oct 12, 2021Updated 4 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Dec 8, 2023Updated 2 years ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆289Jun 6, 2022Updated 3 years ago
- ☆26Feb 27, 2022Updated 4 years ago
- Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.☆1,538Jul 30, 2024Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Mar 3, 2024Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Jul 25, 2024Updated last year
- ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…☆26Oct 13, 2021Updated 4 years ago
- Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"☆186Oct 25, 2023Updated 2 years ago
- ☆82Jul 30, 2024Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆194Oct 10, 2023Updated 2 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Nov 6, 2019Updated 6 years ago
- Self-supervised learning through the eyes of a child☆146Jul 20, 2021Updated 4 years ago
- [NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images☆58Dec 6, 2021Updated 4 years ago
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆141Dec 16, 2025Updated 3 months ago
- ☆20Apr 23, 2024Updated last year
- ☆352Feb 13, 2020Updated 6 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆199Aug 1, 2023Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,090Apr 13, 2023Updated 2 years ago
- A new test set for ImageNet☆263May 13, 2023Updated 2 years ago
- ☆18Jan 17, 2023Updated 3 years ago
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆317Aug 7, 2023Updated 2 years ago
- Official DeiT repository☆4,327Mar 15, 2024Updated 2 years ago
- DataComp: In search of the next generation of multimodal datasets☆771Apr 28, 2025Updated 10 months ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Oct 2, 2021Updated 4 years ago
- [CVPR 2024] Official Repository for MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes☆19Jul 8, 2024Updated last year
- Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.☆182Apr 17, 2022Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Dec 17, 2022Updated 3 years ago
- PyTorch implementation of Contrastive Learning methods☆1,995Oct 4, 2023Updated 2 years ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆71Jan 19, 2024Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆335Jan 26, 2023Updated 3 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Apr 21, 2021Updated 4 years ago
- ☆23Updated this week
- A simple method to perform semi-supervised learning with limited data.☆1,207Jul 30, 2024Updated last year