Dive Into Deep Learning
August 2020 and FREE version!!! D2L is the 987-page book that Amazon scientists have compiled over the past two years and has finally been completed... an interactive and ' open source book ' with code, math and discussions.

What makes this book unique is that it was created with Jupyter Notebook and with the idea of ′′ Learning with Practice "... that is, the book in its entirety consists of executable code with adaptations in PyTorch, TensorFlow and MXNet.

FREE PDF download:
https://d2l.ai/d2l-en.pdf

Download the book in 'notebook' format to read and execute locally:
https://d2l.ai/chapter_installation/index.html

Website:
https://d2l.ai

Github:
https://github.com/d2l-ai/d2l-en

Article:
https://www.amazon.science/latest-news/amazon-scientists-author-popular-deep-learning-book

Brian Huge, Antoine Savine :
https://arxiv.org/abs/2005.02347

TF1 implementation notebook on Colab: https://colab.research.google.com/github/differential-machine-learning/notebooks/blob/master/DifferentialML.ipynb

Organize the daily influx of ML content in meaningful ways without feeling overwhelmed,
By Goku Mohandas et al. :
https://madewithml.com/collections/

Here is a new, and free book on Machine Learning from scratch. It includes the math and code examples. Solid reference.

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

NumPy provides an easily readable, expressive, high-level API for array programming. It takes care of the underlying mechanics that make operations fast.

AI based Rubik's Cube Solver using Flutter and Python

Binary Neural Network (BNN) is best feet for reducing the complexity of deep neural networks. But, it suffers severe performance degradation. Rotation based training leads to around 50% weight flips which maximize the information gain and showed state-of-the-arts in benchmark datasets
Rotated Binary Neural Network (RBNN)

Rotated Binary Neural Network

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

Paper: https://arxiv.org/abs/2009.13055

List of top 200 deep learning Github repositories sorted by the number of stars.

Top deep learning Github repositories


https://github.com/mbadry1/Top-Deep-Learning

Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses

https://laconicml.com/coursera-artificial-intelligence-courses/?fbclid=IwAR2UlS5rr5ya9f3YtxQFdyQnA69ll-m3xTN5kdQVaiUpRp5nkaIyOuq5e8g


Yann LeCun’s Deep Learning Course at CDS also free now:
https://cds.nyu.edu/deep-learning/

3D photo is great, but have you ever seen 3D *free-viewpoint video*? Space-time neural rendering from a single, casually captured video!

https://youtu.be/2tN8ghNu2sI

Project page: https://video-nerf.github.io/

Paper: https://arxiv.org/pdf/2011.12950.pdf

Code: coming soon