PyTorch Implementation of Sparse DETR

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Kakao Brain
[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

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PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation

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NAACL'2021: Factual Probing Is [MASK]: Learning vs. Learning to Recall

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Princeton Natural Language Processing 150 Dec 20, 2022
We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC).

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Pytorch implementation of VAEs for heterogeneous likelihoods.

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The challenge for Quantum Coalition Hackathon 2021

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An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

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Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

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This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

ObjProp Introduction This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Insta

Anirudh S Chakravarthy 6 May 03, 2022
Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"

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Discord Multi Tool that focuses on design and easy usage

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Title: Heart-Failure-Classification

This Notebook is based off an open source dataset available on where I have created models to classify patients who can potentially witness heart failure on the basis of various parameters. The best

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Get a Grip! - A robotic system for remote clinical environments.

Get a Grip! Within clinical environments, sterilization is an essential procedure for disinfecting surgical and medical instruments. For our engineeri

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FcaNet: Frequency Channel Attention Networks

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Adversarial Learning for Modeling Human Motion

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Implementation of "RaScaNet: Learning Tiny Models by Raster-Scanning Image" from CVPR 2021.

RaScaNet: Learning Tiny Models by Raster-Scanning Images Deploying deep convolutional neural networks on ultra-low power systems is challenging, becau

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[ICML 2021] Break-It-Fix-It: Learning to Repair Programs from Unlabeled Data

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A script helps the user to update Linux and Mac systems through the terminal

Description This script helps the user to update Linux and Mac systems through the terminal. All the user has to install some requirements and then ru

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Quantify the difference between two arbitrary curves in space

similaritymeasures Quantify the difference between two arbitrary curves Curves in this case are: discretized by inidviudal data points ordered from a

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Code for "Multi-Compound Transformer for Accurate Biomedical Image Segmentation"

News The code of MCTrans has been released. if you are interested in contributing to the standardization of the medical image analysis community, plea

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