Unsupervised-Classification
PaddleHelix
Unsupervised-Classification | PaddleHelix | |
---|---|---|
2 | 1 | |
1,313 | 792 | |
- | 1.5% | |
1.4 | 5.4 | |
10 months ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Unsupervised-Classification
-
Middle ground dataset between CIFAR and ImageNet [D]
The subsets we used are from here: https://github.com/wvangansbeke/Unsupervised-Classification/tree/master/data/imagenet_subsets
- Any reference or idea about how to train unsupervised CNN model ?
PaddleHelix
-
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?
simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
dipy - DIPY is the paragon 3D/4D+ 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.
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
contrastive-reconstruction - Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
DeBERTa - The implementation of DeBERTa
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
Transformer-SSL - This is an official implementation for "Self-Supervised Learning with Swin Transformers".
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.