Computer Science and Programming
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Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python

Admin: @otchebuch

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https://telega.io/c/computer_science
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Let's have a little fun. World of Machine Learning, Deep Learning, Python with frameworks
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From ICCV 19: PIFu, an end-to-end deep learning method that can reconstruct a 3D model of a person wearing clothes from a single image.
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/
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
The Power and Limitations of Deep Learning with Yann LeCun
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Learn what parts of the image does a deep learning model pay attention to. AttentioNN to describe attention in neural networks.
"Hide and Seek" or "Catch Me if You Can!" game from OpenAI. Only this time the computer is playing it
"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/
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.