rasoolianbehnam

mri_project

additive

additive2

additive_project2

BookCode_Edition1

CLRS

:notebook:Solutions to Introduction to Algorithms

coursera_pgm_python

Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.

DeepLearning

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dl4j-examples-scala

a simple scala porting of https://github.com/deeplearning4j/dl4j-examples

drive

Google Drive client for the commandline

ED

gpu_experiments

Hands-On-GPU-Programming-with-Python-and-CUDA

Hands-On GPU Programming with Python and CUDA, published by Packt

Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

misc

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mri

pgms

pmtk

porosity

Practical-Reinforcement-Learning

Practical​ Reinforcement Learning, published by Packt

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programming-scala-book-code-examples

The code examples used in Programming Scala, 2nd and 3rd (forthcoming) Editions (O'Reilly)

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

sample_project

scala-impatient

My solutions for "Scala for the Impatient" exercises

sync_project

watson