Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Featurelearningrotnet | 496 | 6 months ago | 13 | mit | Python | |||||
Graph_2d_cnn | 59 | 4 years ago | 1 | Python | ||||||
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' | ||||||||||
Ca Tcc | 58 | 5 months ago | Python | |||||||
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification | ||||||||||
Treba | 54 | 2 years ago | other | Python | ||||||
Learning trajectory representations using self-supervision and programmatic supervision. | ||||||||||
Embedders | 19 | 8 months ago | 2 | apache-2.0 | Python | |||||
With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification. | ||||||||||
Dropclass_speaker | 17 | 3 years ago | mit | Python | ||||||
DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020 | ||||||||||
Graph Classification With Gcn | 15 | 5 years ago | 2 | Python | ||||||
A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification. | ||||||||||
Rince | 13 | 2 years ago | agpl-3.0 | Python | ||||||
This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning. | ||||||||||
Circle | 8 | a year ago | 1 | agpl-3.0 | Python | |||||
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions | ||||||||||
Isice | 5 | 5 months ago | 1 | other | Python | |||||
[CVPR2023] The official repository for paper "Learning Partial Correlation based Deep Visual Representation for Image Classification" To appear in 2023 The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) |