Frameworks: Keras, Tensorflow, Pytorch, fastai
Data visualization: Plotly, Matplotlib, Seaborn
Here is the list of my favorite textbooks related to Machine Learning
General Machine Learning:
Kevin Murphy - Machine Learning, A Probabilistic Perspective
Deep learning:
Ian Goodfellow - Deep Learning
Reinforcement learning:
Richard S. Sutton - Reinforcement learning, An Introduction
Online courses:
Reinforcement learning:
Reinforcement learning course - David Silver
Natural language processing:
Natural language processing with deep learning - Stanford cs224n
Natural language understanding - Stanford cs224u
Computer vision:
CNN for visual recognition - Stanford cs223n
Articles, apis, etc:
Gaussian processes:
API: https://gpytorch.ai/