Computer Science and Programing

Computer Science and Programing

Channel specialized for research advances of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science, * Papers and implementations * Python programming. Suggestions: @Abdulaziz_Gaybulayev
Top deep learning Github repositories


https://github.com/mbadry1/Top-Deep-Learning
10/26/2020 6:24:07 AM
Rotated Binary Neural Network

Github (Pytorch implementation): https://github.com/lmbxmu/RBNN

Paper: https://arxiv.org/abs/2009.13055
10/14/2020 1:33:12 AM
https://dafriedman97.github.io/mlbook/content/table_of_contents.html

And The list of Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python Programming Resources. (Last Update: Sept 9, 2020):

https://www.marktechpost.com/free-resources/?fbclid=IwAR0hc2qkxPMXhQGzsg07ffgFecRr01tSCRqlhb_XMR6PjPt1KNdy68cLy9w
9/11/2020 1:41:00 PM
8/21/2020 2:33:57 AM
Tackled the problem of defining a perturbation set for real-world perturbations which cannot be easily described with a set of equations.

Paper:  https://arxiv.org/abs/2007.08450

Blog post: https://locuslab.github.io/2020-07-20-perturbation/

Code: https://github.com/locuslab/perturbation_learning
7/27/2020 5:39:40 AM
7/17/2020 7:44:37 AM
Recently published Comprehensive survey about role of Deep Learning for Scientific discovery (March, 2020). Well structured information given from the authors by providing supplementary materials (Github code links). 
It worth to spend time to read.
7/1/2020 2:03:08 AM
6/23/2020 6:57:49 AM

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Last Update: 26/10/2020 06:24:07 AM

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The Power and Limitations of Deep Learning with Yann LeCun ...
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9/14/2019 7:18:07 AM
Happy new year. I would like to share channel's progress for 2019 and we have a +29 874 new members for this year. Thank you for all members of channel. ...
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12/31/2019 6:15:48 AM
Now t-SNE with RAPIDs cuML 2000x  speed-up over scikit-learn. But is very slightly accurate (at most ~3% error). Here is also detailed explanation about t-SNE, wich nonlinear dimensionality reduction algorithm. ...
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11/24/2019 12:09:45 PM
YOLACT (You Only Look At CoefficienTs) - Real-time Instance Segmentation Results are impressive, above 30 FPS on COCO test-dev ...
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1/10/2020 8:44:33 AM
NVIDIA released a PyTorch library ‘Kaolin’, which in few steps, moves 3D models into neural networks. ...
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11/20/2019 7:19:08 AM
RoboNet: A Dataset for Large-Scale Multi-Robot Learning (15 million video frames, 7 Robot platform). ...
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11/29/2019 4:57:22 AM
Here is the paper's list you will enjoy by exploring new cutting-edge research topics:  http://openaccess.thecvf.com/ICCV2019.py ...
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10/28/2019 5:27:26 AM

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Everybody’s Talkin’: Let Me Talk as You Want  This paper presents a method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video. ...
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1/16/2020 3:41:50 AM
"Hide and Seek" or "Catch Me if You Can!" game from OpenAI. Only this time the computer is playing it ...
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9/22/2019 7:38:55 AM
BMW shares AI algorithms used in production, available on GitHub ...
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12/17/2019 4:37:00 AM
10/28/2019 4:53:28 AM
2019 is also finishing with great achievements in AI field. Thanks to the extended report from 'artificial intelligence index' which I highlighted more specific ones (Of cource is just my choise only): � AI Research went crazy. Between 1998 and 2018, there’s been a 300% increase in the publication of ...
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12/26/2019 8:03:05 AM
Learn what parts of the image does a deep learning model pay attention to.  AttentioNN to describe attention in neural networks. ...
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9/18/2019 3:31:21 AM
10/28/2019 4:53:14 AM
I think, every AI lovers are waiting for AI debate: Yoshua Bengio and Gary Marcus, which a decade that has revived the field of AI ...
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12/21/2019 4:28:18 AM