self-supervised
PaddleHelix

self-supervised | PaddleHelix | |
---|---|---|
2 | 1 | |
129 | 1,039 | |
3.1% | 1.6% | |
0.0 | 8.3 | |
about 2 years ago | 3 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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self-supervised
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[P] solo-learn: a library of self-supervised methods for visual representation learning
W-MSE
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[R] ICLR rejected the submission only for missing large-scale ImageNet experiments
https://github.com/htdt/self-supervised it includes our method, byol and contrastive. I tried to keep the code nice and clean.
PaddleHelix
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Baidu and BioMap AI Research Open-Sources HelixFold-Single: An End-To-End MSA-Free Protein Structure Prediction Pipeline
Continue reading | Check out the paper and code.
What are some alternatives?
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
dipy - DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
PASS - The PASS dataset: pretrained models and how to get the data
DeBERTa - The implementation of DeBERTa
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
