Paper link:
https://arxiv.org/pdf/1905.05172.pdf
Official Page:
https://shunsukesaito.github.io/PIFu/
Code status: coming soon
https://arxiv.org/pdf/1905.05172.pdf
Official Page:
https://shunsukesaito.github.io/PIFu/
Code status: coming soon
shunsukesaito.github.io
PIFu
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A practical approach to learning machine learning
GitHub : https://github.com/GokuMohandas/practicalAI
- 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch
- 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/
GitHub : https://github.com/GokuMohandas/practicalAI
- 📚 Notebooks on topics from basic Python to advanced deep learning techniques #PyTorch
- 🖥 Run everything using #Colab : https://colab.research.google.com/…/GokuMohand…/practicalAI/
Computer Science and Programming
http://openaccess.thecvf.com/content_CVPR_2019/html/
This link is not valid curently. Alternatively, we can use this link:
http://openaccess.thecvf.com/CVPR2019.py
http://openaccess.thecvf.com/CVPR2019.py
How Stuff Works: A Comprehensive Topic Modelling Guide with NMF, LSA, PLSA, LDA & lda2vec (Part-1). Medium article from Sourav Bose
All list of accepted REINFORECEMENT LEARNING papers to NeurIPS 2019
"Talk to books" is a search tool that lets you find the most relevant passages from any book. Tool from Google's AI (100,000 scanned books with 600 million sentences)
https://books.google.com/talktobooks/
https://books.google.com/talktobooks/
Google
Talk to Books
Talk to Books was a new way to explore ideas and discover books. Select one of
the samples to view its archived search results.
the samples to view its archived search results.
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original source: "World economic forum"
If you want to start Deep Learning, but you are thinking about how to start then this article will help you. Here is listed completely free and open-sourced courses in your hand
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You are still thinking which Machine Learning framework to learn or use your projects. In 2019, the war for ML frameworks has two remaining main contenders: PyTorch and TensorFlow.
The current state of AI and Deep Learning: A reply to Yoshua Bengio.
Interesting article to know current state and future perspectives of AI and Deep Learning from experts of the field
Interesting article to know current state and future perspectives of AI and Deep Learning from experts of the field