نسأل الله أن يتقبل منا ومنكم صالح الأعمال، عيدكم مبارك🤍.
@Raminmousa

PIFuHD: new state of the art high-quality 3D reconstruction of humans from a single image
🌐 github.com/facebookresearch/pifuhd
📝 arxiv.org/abs/2004.00452
📉 @Machine_learn

Applied Machine Learning with Python
#book #ml
Andrea Giussani (2020)
@Machine_learn

Whole-Body Human Pose Estimation in the Wild
@Machine_learn

Github: https://github.com/jin-s13/COCO-WholeBody

Paper: https://arxiv.org/abs/2007.11858v1

Dataset: https://cocodataset.org/#keypoints-2017

AI-based Surveying the Impact of Environmental, Climatic, Economic and Demographic Conditions on the Pandemic Outbreak Rate of COVID-19
May 2020
DOI: 10.13140/RG.2.2.22571.87842/1
License: CC BY-NC-ND 4.0
Project: AI-based Surveying the Impact of Environmental, Climatic, Economic and Demographic Conditions on the Epidemic Outbreak Rate of Covid-19
Ramin MousaMehryar MajdMehryar MajdArsalan Mousazadeh

https://www.researchgate.net/publication/343303838_AI-based_Surveying_the_Impact_of_Environmental_Climatic_Economic_and_Demographic_Conditions_on_the_Pandemic_Outbreak_Rate_of_COVID-19/stats
Ramin:@Raminmousa
Arsalan: @arsalan_m

A survey on generative adversarial networks and their variants methods
#GAN
#paper
#survey
@Machine_learn

Tonic deep reinforcement learning library #Rl
@Machine_learn

https://github.com/fabiopardo/tonic

Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks


https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html

Project page: https://polynote.org/

Github: https://github.com/polynote/polynote

@Machine_learn

Israeli Geometric Deep Learning Workshop

Many cool presentations at the recent DGL workshop, including Yaron Lipman, Gal Chechik, Gal Chechik, and many other experienced people in this field. The video is on YouTube.

@Machine_learn

Data Analytics
Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
#book
@Machine_learn

Neural Networks: A Visual Introduction for Beginners by Michael Taylor
#book
@Machine_learn

COALESCE framework
#paper
@Machine_learn
https://arxiv.org/pdf/2008.01936.pdf

How to Build a Custom YOLOv4 Object Detector using TensorFlow
@Machine_learn

https://morioh.com/p/f9702a8223b2

CODE: https://github.com/theAIGuysCode/tensorflow-yolov4-tflite

Using Flask to optimize performance with Mask R-CNN segmentation(with source code)

https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029

@Machine_learn