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DEPRECATED Former Python version of Quantiacs toolbox and sample trading strategies. New toolbox available at: https://github.com/quantiacs/toolbox
Deep learning framework for HFT algorithmic trading strategy development
Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.
Python-based command line tool to manage workspaces and test conversations for IBM Watson Assistant on IBM Cloud
A simple question-answering system built using IBM Watson's NLP services.
scikit-learn: machine learning in Python
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
TensorFlow Tutorials with YouTube Videos
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Data Science and Machine Learning with Python - Hands On from Udemy
Apache 2.0 License
machine learning/artificial intelligence notes
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
The leader in Customer Data Infrastructure
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
Jupyter metapackage for installation and documentation
The "Python Machine Learning (1st edition)" book code repository and info resource
Jupyter notebooks from the scikit-learn video series
skimage-tutorials: a collection of tutorials for the scikit-image package.
different types of tutorials, such as machine learning, image processing and etc.
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).