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100-days-of-ml-code

100 Days of ML Coding

5g-air-simulator_clanguage

An open-source system-level simulator modeling the 5G air interface

5g-beamforming-project

Simulation of Beamforming and DOA

5gmm-wavemimo-data

Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

6-months-data-science-roadmap-

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

channelprediction_matlab-ml

This project is to simulation in the paper "An Adaptive and Parameter-Free Recurrent Neural Structure for Wireless Channel Prediction"

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

data-analysis-with-python

This is a course of Data Analysis using Python.

data-analyst-with-python

Complete Data analysis with Python and Pandas

data-driven-methods-for-the-reduction-of-energy-consumption-in-warehouses-use-case

This is the repository that includes the code of the use case in the paper titled "Data-driven Methods for the Reduction of Energy Consumption in Warehouses: Use-Case Driven Analysis"

data-science-curriculum

Data Science Curriculum for the non-technical

data-science-notes

Various resources on advanced analytics and beyond

data-science-predict-weather-events

Explore weather event data and use machine learning to predict the damage costs of storm events based on location, time of year, and type of event

dataanalysis-icodeguru-batch2

Data

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning-for-dynamic-spectrum-access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

deep-rl-class_thomas-simonini

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

deep_resource_management

Resource Management with Deep Reinforcement Learning (HotNets '16)

deeplearningzerotohero

A repository for Deep Learning projects, which includes complete preparation from Novice to Expert

deepnoma

DeepNOMA is a knowledge distilled DL architecture aiming to deliver fast, high performance multi-user detection in massive IoT (also known as massive Machine Type Communication) systems. Work in progress.

drloptimizationofseandeebasedondrl

Optimization of SE and EE based on DRL

dynamic-request-scheduling-optimization-in-mobile-edge-computing-for-iot-applications

This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"

dynamicmultichannelrl

Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"

ee-opt-pwr-cont

Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.