Unsupervised-Classification
PaddleHelix


Unsupervised-Classification | PaddleHelix | |
---|---|---|
2 | 1 | |
1,393 | 1,039 | |
1.9% | 1.6% | |
1.4 | 8.3 | |
over 1 year ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Unsupervised-Classification
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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
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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-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
DeBERTa - The implementation of DeBERTa
self-supervised - Whitening for Self-Supervised Representation Learning | Official repository
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
DiffCSE - Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
jodie - A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

