rkrtiwari

AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Bayesian-Analysis-with-Python

Bayesian Analysis with Python by Packt

bokeh

Interactive Web Plotting for Python

choice_modeling

data

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

iotsummithol

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-rl

Deep Reinforcement Learning for Keras.

latexTraining

machine_learning_examples

A collection of machine learning examples and tutorials.

mts

NLTKTraining

Exercise files for Python NLTK Natural Language Processing Training

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

ponpare

pranshu

ray

A system for parallel and distributed Python that unifies the ML ecosystem.

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rMachineLearning

shape-detection

Object recognition on abstract shapes with neural networks

technical_test

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-rnn-shakespeare

Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

test-repo

This is a test repo

tf-dev-summit-tensorboard-tutorial

Code that accompanies my talk at TF Dev Summit 2016

TimeSeries

TimeSeries-data

tkinter

YOLOw-Keras

YOLOv2 Object Detection w/ Keras (in just 20 lines of code)