TensorFlow 2.3 is now officially released
@Machine_learn
https://blog.tensorflow.org/2020/07/whats-new-in-tensorflow-2-3.html
@Machine_learn
https://blog.tensorflow.org/2020/07/whats-new-in-tensorflow-2-3.html
blog.tensorflow.org
What's new in TensorFlow 2.3?
TensorFlow 2.3 has been released with new tools to make it easier to load and preprocess data, and solve input-pipeline bottlenecks.
👶 BabyAI 1.1 ➡️@Machine_learn
BabyAI is a platform used to study the sample efficiency of grounded language acquisitio
Github: https://github.com/mila-iqia/babyai
https://github.com/mila-iqia/babyai
Paper: https://arxiv.org/abs/2007.12770v1
@ai_machinelearning_big_data
BabyAI is a platform used to study the sample efficiency of grounded language acquisitio
Github: https://github.com/mila-iqia/babyai
https://github.com/mila-iqia/babyai
Paper: https://arxiv.org/abs/2007.12770v1
@ai_machinelearning_big_data
GitHub
GitHub - mila-iqia/babyai: BabyAI platform. A testbed for training agents to understand and execute language commands.
BabyAI platform. A testbed for training agents to understand and execute language commands. - mila-iqia/babyai
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نسأل الله أن يتقبل منا ومنكم صالح الأعمال، عيدكم مبارك🤍.
@Raminmousa
@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
🌐 github.com/facebookresearch/pifuhd
📝 arxiv.org/abs/2004.00452
📉 @Machine_learn
GitHub
GitHub - facebookresearch/pifuhd: High-Resolution 3D Human Digitization from A Single Image.
High-Resolution 3D Human Digitization from A Single Image. - facebookresearch/pifuhd
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
@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
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
ResearchGate
(PDF) AI-based Surveying the Impact of Environmental, Climatic, Economic and Demographic Conditions on the Pandemic Outbreak Rate…
PDF | Results of the current study have shown that in order to improve the PRM in public health troubles, one option is to acquire useful data relevant... | Find, read and cite all the research you need on ResearchGate
❤1
Machine learning books and papers pinned «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…»
How to Use XGBoost for Time Series Forecasting
https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
@Machine_learn
https://machinelearningmastery.com/xgboost-for-time-series-forecasting/
@Machine_learn
generative adversarial.pdf
828.8 KB
A survey on generative adversarial networks and their variants methods
#GAN
#paper
#survey
@Machine_learn
#GAN
#paper
#survey
@Machine_learn
Singh P., Manure A. - Learn TensorFlow 2.0 - 2020.pdf
6.2 MB
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python - 2020 #python #DL #tensorflow
@Machine_learn
@Machine_learn
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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
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
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
YouTube
iGDL 2020: Israeli Geometric Deep Learning Workshop
We are excited to announce the first Israeli workshop on geometric deep learning (iGDL) that will take place on August 2nd, 2020 2 PM-7 PM (Israel timezone). The workshop will be in English, and will take place virtually via Zoom due to COVID19 restrictions.…
Data_Analytics_Practical_Guide_to_Leveraging_the_Power_of_Algorithms.pdf
1.2 MB
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
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
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
@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
https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029
@Machine_learn
Medium
Using Flask to optimize performance with Mask R-CNN segmentation
How to improve Mask R-CNN segmentation performance using a Flask web service.