177 Open source projects that are alternatives of or similar to triplet-loss-pytorch

Re-implementation of tripletloss function in FaceNet

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awesome few shot / meta learning papers

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If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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Reproduce some methods in semi-supervised papers.

🔥 OpenPose api wrapper in PyTorch.

Source code for our "TitleStylist" paper at ACL 2020

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

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ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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A PyTorch Implementation of Convolutional Conditional Neural Process.

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

Quorum.js is an extension to web3.js providing support for JP Morgan's Quorum API

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

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[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

SegSort: Segmentation by Discriminative Sorting of Segments

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The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

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Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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