GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Hacker

A Quick Introduction to Python Numpy for Beginners

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
IEEE

Performance analysis of different distribution of Python and TensorFlow to efficiently utilize CPU on HPC Cluster

Abstract: In recent years, Artificial Intelligence (AI) and Deep Learning (DL) Research and Development (R&D) work has picked up amongst academia, research community and industry. Training Deep Neural ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
GitHub

dabeaz-course/python-mastery: Advanced Python Mastery (course by @dabeaz)

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...