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Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

@deeplearning_ai

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* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

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Post #1041 39.1K
FLAG: Flow-based 3D Avatar Generation
from Sparse Observations.

𝐇𝐒𝐠𝐑π₯𝐒𝐠𝐑𝐭𝐬:
βœ…FLow-based Avatar Generative
βœ…Conditional distro of body pose
βœ…Exact pose likelihood process
βœ…Invertibility -> oracle latent code

[PAPER] [Project Page]


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@Deeplearning_ai
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Post #1040 42.7K
Realtime Object-aware Monocular Depth Estimation in Onboard Systems

Video Paper Bibtex

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@Deeplearning_ai
YouTube [IJCAS 2021] Real-time Object-aware Monocular Depth Estimation in Onboard Systems This paper proposes the object depth estimation in real-time, using only a monocular camera in an onboard computer with a low-cost GPU. Our algorithm estimates scene depth from a sparse feature-based visual odometry algorithm and detects/tracks objects’ bounding…
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Post #1038 40.9K
Multi Task Learning for 3D segmentation

Perception stack of an Autonomous Driving system often contains multiple neural networks working together to predict bounding boxes, segmentation maps, depth maps, lane lines etc. Having a separate neural network for each task creates an heavy impact on system's processing speed.

https://github.com/adithyagaurav/Multi_Task_Learning


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@Deeplearning_ai
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Post #1034 42.2K
Want to jump ahead in artificial intelligence and/or digital pathology? Excited to share that after 2+ years of development PathML 2.0 is out! An open source #computational #pathology software library created by Dana-Farber Cancer Institute/Harvard Medical School and Weill Cornell Medicine led by Massimo Loda to lower the barrier to entry to #digitalpathology and #artificialintelligence , and streamline all #imageanalysis or #deeplearning workflows.

⭐ Code: https://github.com/Dana-Farber-AIOS/pathml
GitHub GitHub - Dana-Farber-AIOS/pathml: Tools for computational pathology Tools for computational pathology. Contribute to Dana-Farber-AIOS/pathml development by creating an account on GitHub.
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Post #1032 31.2K
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

https://www.ritchieng.com/the-incredible-pytorch/

https://github.com/ritchieng/the-incredible-pytorch

@deeplearning_ai
GitHub GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and… The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. - ritchieng/the-incredible-pytorch
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Post #1026 31K
Papers with Code 2021 : A Year in Review.

Papers with Code indexes various machine learning artifacts β€” papers, code, results β€” to facilitate discovery and comparison. Using this data we can get a sense of what the ML community found useful and interesting this year. Below we summarize the top trending papers, libraries and datasets for 2021 on Papers with Code.

https://medium.com/paperswithcode/papers-with-code-2021-a-year-in-review-de75d5a77b8b

πŸ‘‰πŸ‘‰@deeplearning_ai
Medium Papers with Code 2021 : A Year in Review Papers with Code indexes various machine learning artifactsβ€Šβ€”β€Špapers, code, resultsβ€Šβ€”β€Što facilitate discovery and comparison. Using this…
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Post #1025 32.7K
Page: https://d2l.ai/

PyTorch based: https://d2l.ai/d2l-en-pytorch.pdf

MXNET based: https://d2l.ai/d2l-en.pdf

Github: https://github.com/d2l-ai/d2l-en

πŸ‘‰πŸ‘‰@deeplearning_ai
GitHub GitHub - d2l-ai/d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities… Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. - d2l-ai/d2l-en
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Post #1024 28.6K
Dive into Deep Learning

Interactive deep learning book with code, math, and discussions

Implemented with NumPy/MXNet, PyTorch, and TensorFlow

Adopted at 300 universities from 55 countries

@deeplearning_ai
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Post #1019 30.5K
NeurIPS 2021β€”10 papers you shouldn’t miss

2334 papers, 60 workshops, 8 keynote speakers, 15k+ attendees. A dense landscape that’s hard to navigate without a good guide and map, so here are some of our ideas!

https://towardsdatascience.com/neurips-2021-10-papers-you-shouldnt-miss-80f9c0793a3a

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@deeplearning_ai
Medium NeurIPS 2021β€”10 papers you shouldn’t miss 2334 papers, 60 workshops, 8 keynote speakers, 15k+ attendees. A dense landscape that’s hard to navigate without a good guide and map, so…
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Post #1014 32.5K
Join the channel of researchers and programmers, the channel includes a huge encyclopedia of programming books and scientific articles in addition to the most famous scientific projects

t.me/datascience_books
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Post #1013 31.8K
Welcome to the Code Programmer community.

Our community offers many software projects with source code attached to explanations about the codes

In addition, we support both Arabic and English languages ​​at the same time.

https://t.me/CodeProgrammer
Telegram Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
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