SaiKrishna Saketh Yellapragada (saiksaketh)

saiksaketh

Geek Repo

Company:Nokia Networks Oy

Location:Espoo,Finland

Home Page:www.linkedin.co/in/saiksaketh

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SaiKrishna Saketh Yellapragada's repositories

agusmakmun.github.io

:raised_hands: Free and open-source Jekyll theme

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CommPy

Digital Communication with Python

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cpp_primer

This my cpp primer practise code

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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deep-ternary

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

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deep_matrix_factorization

Code for Implicit Regularization in Deep Matrix Factorization.

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DL-Massive-MIMO

DL tackling Massive-MIMO problems

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dlaicourse

Notebooks for learning deep learning

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ECE285-MachineLearning-ImageProcessing

Repository for UCSD ECE 285 Machine Learning for Image Processing

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ELEC-E5410-Signal-Processing-for-Communications

Aalto University Course on Signal Processing for Communications

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h2-example

HTTP/2 client&server example

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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.

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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.

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ldpc-3gpp-matlab

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

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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.

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matlab-with-python-book

Book on MATLAB with Python

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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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.

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neural-matrix-completion

Source code for the paper "Extendable Neural Matrix Completion"

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PhyLayerLLS

Physical Layer Link Level Simulator

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real-time-cpp

Real-Time C++ Companion Code

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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.

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stanford-algorithms-specialization

📚Solutions for algorithms covered in Stanford Algorithms Specialization

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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theMLbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

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Viterbi-Error-Correction

MATLAB code for convolution code (2, 1, 10) decoding with g1 = 110111 and g2 = 11101101 and the analysis of % of error detection and correction using Viterbi decoding and path metric.

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xkcd-Style-Plots

Create matplotlib plots with the art style of Randall Munroe's xkcd

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