fast.ai Courses

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses IBM Data Science Experience (DSX).

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Cloud-native web, mobile and event analytics, running on AWS and on-premise with Kafka

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Statistical data visualization using matplotlib

TensorFlow Tutorials with YouTube Videos

ggplot port for python

Python version of Quantiacs toolbox and sample trading strategies

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

Caffe: a fast open framework for deep learning.

machine learning/artificial intelligence notes

Machine Learning for OpenCV: A practical introduction to the world of machine learning using OpenCV and Python

Introduction to Deep Neural Networks with Keras and Tensorflow

DilatedNet in Keras for image segmentation

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Beaker Extensions for Jupyter Notebook

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

TensorFlow tutorials and best practices.

Models built with TensorFlow

some of my talks

build and test recipes for conda