ledihdug

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Flask-AppBuilder

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/

HOW-TO

FlyNetSim

FlyNetSim: An Intergrated UAV-Network Simulator

CORNET

uavchanmod

MmWave channel modeling repository

Python-programming-exercises

100+ Python challenging programming exercises

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

lora-ns3

ns3 lora module

Coursera_Capstone

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.

microhh

Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

machine-learning-uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

ML

This repository contains ML algorithms written in Python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Machine-Learning-From-Scratch

Learn-X-in-Y-minutes-Where-X-is-Python3

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

deep-learning-v2-pytorch

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

github-markdown-toc

Easy TOC creation for GitHub README.md

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

jianan_machine_learning

machine learning, deep learning, sensor fusion, 5G, and all statistical signal processing by jianan

100-Days-Of-ML-Code

100 Days of ML Coding

Howto

autoencoder

Text autoencoder with LSTMs

BinaryNet.tf

BNN implementation in tensorflow

deep-neural-network-decoder

PRML

PRML algorithms implemented in Python