cristinagomezsantamaria Goto Github PK

angelhack2018

AngelHack Medellin 2018

apr-02-fundamentacion-estadistica

Introductory course on statistics for analytics

apr-04-r-analitica-predictiva

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

cda-02-introduccion-analitica

Charla "Una introducción a la Analítica"

cda-08-python-analitica-descriptiva

cda-09-2-dashboards

Este es un ejemplo más elaborado de como usar GitHub Pages para elaborar dashboards

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

compressedindoorradiolocalization

Different codes were implemented in order to perform compressed sensing radiolocalization in indoors.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearningexamples

Deep Learning Examples

dlaicourse

Notebooks for learning deep learning

efficient-apriori

An efficient Python implementation of the Apriori algorithm.

ipython-big-data

Big Data magic for the Jupyter Notebook

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-with-python

Python code for common Machine Learning Algorithms

massive-mimo-small-cells

Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

maximal-se

Simulation code for “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?” by Emil Björnson, Erik G. Larsson, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1293-1308, 2016.

mimo-channel-estimation

Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nn-from-scratch

Implementing a Neural Network from Scratch

optimal-beamforming

Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014.

paura

Python Audio Recorder and Analyzer

phdthesis

Combining beam forming and space time coding in macrocell multiuser scenarios

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

python-data-cleaning

Jupyter Notebooks and datasets for our Python data cleaning tutorial

python-for-etl-processes-rutan-alcaldia

Course on Python programming for extracting, transforming and loading data