TALK something Interesting about AI and Data Science (Part 2)

Resource 1
EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
This become a great tool for teaching about deep learning.

Resource 2
A comprehensive collection of symbols used in mathematics — categorized by function, subject and type into tables along with each symbol's usage and meaning.

Resource 3
Roadmap to becoming an Artificial Intelligence Expert in 2021

Resource 4
Introducing the Jupyter Extension for VS Code

Resource 5
ML Visuals

Resource 6
Computer Science online courses ranging from intro to machine learning to probabilistic graphical modelling to math for CS.

Resource 7
Python Programming And Numerical Methods: A Guide For Engineers And Scientists

Resource 8
CompreFace: An Open-Source Face Recognition Solution by Exadel

Resource 9
A framework for real-life data science

Resource 10

Spokestack

This library is intended for developing voice interfaces in Python.

Resource 11
NAVis
Neuron Analysis and Visualization¶

Resource 12
Speeding up Python code with Nim

What is Nim?

Resource 13
Resource 14
Joblib: running Python functions as pipeline jobs

Resource 15
Python job scheduling for humans. Run Python functions (or any other callable) periodically using a friendly syntax.

Resource 16
A Visual Programming Environment for Scientific Computing

Resource 17

Resource 18
A simple package to do realtime audio analysis in native Python, using PyAudio and Numpy to extract and visualize FFT features from a live audio stream.

Resource 19
A curated list of awesome awesomeness about artificial intelligence(AI).

Resource 20
FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone

Resource 21
Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning

Resource 22

Artificial Intelligence Bookmarks

Resource 23
A curated list of awesome machine learning interpretability resources.
awesome-machine-learning-interpretability

Resource 24
Awesome production machine learning

Resource 25
ML Resources
Where should I start (in ML)?

Resource 26
Download 100+ Best Machine Learning Books for Free - Don't worry, all the ebooks are open-sourced

Resource 27
Stanford developed a new library Stanza — a Python-based library for many human languages.

Resource 28
How NVIDIA Drives AI Algorithms perform Intuitive In Cabin Perception

Resource 29
Machine Learning Cheat Sheets at one place

Resource 30
Yann LeCun’s Full Deep Learning Course is available online for Free