Pinned Repositories
additive
additive2
additive_project2
BookCode_Edition1
brutils
CLRS
:notebook:Solutions to Introduction to Algorithms
coursera_pgm_python
Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.
CS231n
DeepLearning
mri_project
rasoolianbehnam's Repositories
rasoolianbehnam/mri_project
rasoolianbehnam/additive
rasoolianbehnam/additive2
rasoolianbehnam/additive_project2
rasoolianbehnam/BookCode_Edition1
rasoolianbehnam/brutils
rasoolianbehnam/CLRS
:notebook:Solutions to Introduction to Algorithms
rasoolianbehnam/coursera_pgm_python
Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.
rasoolianbehnam/DeepLearning
rasoolianbehnam/dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
rasoolianbehnam/drive
Google Drive client for the commandline
rasoolianbehnam/ED
rasoolianbehnam/gpu_experiments
rasoolianbehnam/Hands-On-GPU-Programming-with-Python-and-CUDA
Hands-On GPU Programming with Python and CUDA, published by Packt
rasoolianbehnam/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
rasoolianbehnam/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
rasoolianbehnam/misc
rasoolianbehnam/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
rasoolianbehnam/mri
rasoolianbehnam/pgms
rasoolianbehnam/pmtk
rasoolianbehnam/porosity
rasoolianbehnam/Practical-Reinforcement-Learning
Practical​ Reinforcement Learning, published by Packt
rasoolianbehnam/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 ;)
rasoolianbehnam/programming-scala-book-code-examples
The code examples used in Programming Scala, 2nd and 3rd (forthcoming) Editions (O'Reilly)
rasoolianbehnam/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
rasoolianbehnam/sample_project
rasoolianbehnam/scala-impatient
My solutions for "Scala for the Impatient" exercises
rasoolianbehnam/sync_project
rasoolianbehnam/watson