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gym-stock-exchange

h2o

h2o = fast statistical, machine learning & math runtime for bigdata

h2o-3

Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)

hands-on-analysis-python

PyCon 2015

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

homeworks

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

how-to

How-Tos for GraphLab Create

how_to_make_a_tensorflow_image_classifier_live

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

interview

Interview questions

intro_bayesian_causal

Repository for Introduction to Bayesian Estimation of Causal Effects

ipynotebook_machinelearning

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

ipython-notebooks

A collection of IPython notebooks covering various topics.

ipython-parallel-tutorial

tutorial materials for IPython.parallel

juliaopt-notebooks

A collection of IJulia notebooks related to optimization

k-means-clustering

Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.

kaggle-2014-criteo

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

kaggle_walmart-recruiting-store-sales-forecasting

R code for Kaggle's Walmart Recruiting - Store Sales Forecasting

kalman

Some Python Implementations of the Kalman Filter

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.

kdd18-gluon

KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-io

Keras documentation, hosted live at keras.io

keras-mnist-tutorial

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-resources

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

kording_lab_training

:bird: Repository for Kording lab training session by Titipat and friends