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Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A python library for self-supervised learning on images.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
[TMLR 2024] Efficient Large Language Models: A Survey
(CVPR 2021 Oral) Open World Object Detection
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Efficient Deep Learning Systems course materials (HSE, YSDA)
Embedded and mobile deep learning research resources