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Code repository for the paper - "Matryoshka Representation Learning"
Deep learning cross modal hashing in PyTorch
Pytorch source code of "Efficient Hash Code Expansion by Recycling Old Bits"(ACM MM2022)
dabnn is an accelerated binary neural networks inference framework for mobile platform
The code of "Deep Hashing with Minimal-Distance-Separated Hash Centers"
Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/abs/2103.12369
Benchmarks of approximate nearest neighbor libraries in Python
Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
PyTorch Tutorial for Deep Learning Researchers
Models and examples built with TensorFlow