saiksaketh Goto Github PK

agusmakmun.github.io

:raised_hands: Free and open-source Jekyll theme

arm_m4_udemy

cell-free-book

commpy

Digital Communication with Python

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

cookbook

coursera_robotics

Contains coursera robotics specialization assignment codes

cpp_primer

This my cpp primer practise code

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-ternary

Source code for the paper "Deep Learning Sparse Ternary Projections For Compressed Sensing of Images"

deep_matrix_factorization

Code for Implicit Regularization in Deep Matrix Factorization.

dl-massive-mimo

DL tackling Massive-MIMO problems

dlaicourse

Notebooks for learning deep learning

ece285-machinelearning-imageprocessing

Repository for UCSD ECE 285 Machine Learning for Image Processing

elec-e5410-signal-processing-for-communications

Aalto University Course on Signal Processing for Communications

h2-example

HTTP/2 client&server example

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ldamp_based-channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

ldpc-3gpp-matlab

Matlab simulations of the encoder and decoder for the New Radio LDPC code from 3GPP Release 15

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.

matlab-with-python-book

Book on MATLAB with Python

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

multiple_antenna_communications

This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.

neural-matrix-completion

Source code for the paper "Extendable Neural Matrix Completion"

phylayerlls

Physical Layer Link Level Simulator

python-data-structures-and-algorithms

Python Data Structures and Algorithms, published by Packt

real-time-cpp

Real-Time C++ Companion Code

rician-cell-free

Simulation code for “Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts,” by Özgecan Özdogan, Emil Björnson, Jiayi Zhang, IEEE Transactions on Wireless Communications, To appear.

stanford-algorithms-specialization

📚Solutions for algorithms covered in Stanford Algorithms Specialization

statistics-notes

iPython NOtebooks on Stats