—————— ConvNeXt ——————
Facebook propose ConvNeXt, a pure ConvNet model constructed entirely from standard ConvNet modules. ConvNeXt is accurate, efficient, scalable and very simple in design.
Github: https://github.com/facebookresearch/ConvNeXt
Paper: https://arxiv.org/pdf/2201.03545
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Facebook propose ConvNeXt, a pure ConvNet model constructed entirely from standard ConvNet modules. ConvNeXt is accurate, efficient, scalable and very simple in design.
Github: https://github.com/facebookresearch/ConvNeXt
Paper: https://arxiv.org/pdf/2201.03545
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#crosspost
Recruiters, how much does a candidate's Kaggle profile matter while hiring?
For example if a guy is Kaggle Master, would that boost his chances of getting selected. I just wanna know if a Kaggle profile of a candidate matters or not. If yes then how much?
View the full redit post: https://redd.it/shsq5a
#DS #Kaggle
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Recruiters, how much does a candidate's Kaggle profile matter while hiring?
For example if a guy is Kaggle Master, would that boost his chances of getting selected. I just wanna know if a Kaggle profile of a candidate matters or not. If yes then how much?
View the full redit post: https://redd.it/shsq5a
#DS #Kaggle
Team
@data_enthusiasts
@OpenArchiveBooks
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📎 When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Github: https://github.com/microsoft/SPACH
Paper: https://arxiv.org/abs/2201.10801v1
Dataset: https://paperswithcode.com/dataset/coco
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Github: https://github.com/microsoft/SPACH
Paper: https://arxiv.org/abs/2201.10801v1
Dataset: https://paperswithcode.com/dataset/coco
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📹 VRT: A Video Restoration Transformer
Github: https://github.com/jingyunliang/vrt
Paper: https://arxiv.org/abs/2201.12288
Dataset: https://paperswithcode.com/dataset/gopro
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Github: https://github.com/jingyunliang/vrt
Paper: https://arxiv.org/abs/2201.12288
Dataset: https://paperswithcode.com/dataset/gopro
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P DeepETA: How Uber Predicts Arrival Times Using Deep Learning
Link to blog post
Geospatial data for deep learning seems to be difficult and often overlooked, but interest seems to be increasing. It's nice to see an attempt at a more modern, general-purpose ETA tool like this, especially the way they use geospatial embeddings and linear transformer.
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Link to blog post
Geospatial data for deep learning seems to be difficult and often overlooked, but interest seems to be increasing. It's nice to see an attempt at a more modern, general-purpose ETA tool like this, especially the way they use geospatial embeddings and linear transformer.
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@data_enthusiasts
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🎬 FILM: Frame Interpolation for Large Scene Motion
Github: https://github.com/google-research/frame-interpolation
Research Paper: https://arxiv.org/pdf/2202.04901.pdf
Video: https://www.youtube.com/watch?v=OAD-BieIjH4
Project: https://film-net.github.io/
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Github: https://github.com/google-research/frame-interpolation
Research Paper: https://arxiv.org/pdf/2202.04901.pdf
Video: https://www.youtube.com/watch?v=OAD-BieIjH4
Project: https://film-net.github.io/
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I was curious about how Tinder uses AI to find possible matches.
Your feedback is highly appreciated
https://redd.it/ssz53v
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Your feedback is highly appreciated
https://redd.it/ssz53v
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❤1
🗣 Facebook’s textless-lib: a Library for Textless Spoken Language Processing
Github: https://github.com/facebookresearch/textlesslib
Code examples: https://github.com/facebookresearch/textlesslib/tree/main/examples
Paper: https://arxiv.org/pdf/2202.07359v1
Dataset: https://paperswithcode.com/dataset/librispeech
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Github: https://github.com/facebookresearch/textlesslib
Code examples: https://github.com/facebookresearch/textlesslib/tree/main/examples
Paper: https://arxiv.org/pdf/2202.07359v1
Dataset: https://paperswithcode.com/dataset/librispeech
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❤2👍1
One-shot Affordance Detection
Github: https://github.com/lhc1224/OSAD_Net
Paper: https://arxiv.org/pdf/2202.12076v1
Dataset: https://paperswithcode.com/dataset/pad
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Github: https://github.com/lhc1224/OSAD_Net
Paper: https://arxiv.org/pdf/2202.12076v1
Dataset: https://paperswithcode.com/dataset/pad
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Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study
• Some time ago in a different world one of the channel editors shared permmission to use data from sleep & activity tracker Oura Ring to develop an algorithm for COVID-19 prediction.
• Results of this study continue to arrive. Today team shared the second manuscript from the first TemPredict Study in Nature Scientific Reports. This manuscript details an algorithm designed to detect COVID-19 using data from the Oura Ring. Alogirthm publication: www.nature.com/articles/s41598-022-07314-0
• The first publication from the first TemPredict Study will continue to be available online for you to access at any time, at this link: https://www.nature.com/articles/s41598-020-78355-6
• The first publication from the second TemPredict Study (correlations between data from the Oura Ring and data from a LabCorp antibody blood test) will also continue to be available online for you to access at any time, at this link: https://www.mdpi.com/2076-393X/10/2/264
That's the power of the international collaboration 💪
#oura #covid #biolearning #medical #health
Team
@data_enthusiasts
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• Some time ago in a different world one of the channel editors shared permmission to use data from sleep & activity tracker Oura Ring to develop an algorithm for COVID-19 prediction.
• Results of this study continue to arrive. Today team shared the second manuscript from the first TemPredict Study in Nature Scientific Reports. This manuscript details an algorithm designed to detect COVID-19 using data from the Oura Ring. Alogirthm publication: www.nature.com/articles/s41598-022-07314-0
• The first publication from the first TemPredict Study will continue to be available online for you to access at any time, at this link: https://www.nature.com/articles/s41598-020-78355-6
• The first publication from the second TemPredict Study (correlations between data from the Oura Ring and data from a LabCorp antibody blood test) will also continue to be available online for you to access at any time, at this link: https://www.mdpi.com/2076-393X/10/2/264
That's the power of the international collaboration 💪
#oura #covid #biolearning #medical #health
Team
@data_enthusiasts
@OpenArchiveBooks
Nature
Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study
Scientific Reports - Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study
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