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eda_courseproject

Course Project 2 for the Coursera course Exploratory Data Analysis

emg-exercise-analysis

Uses 4 simultaneous EMG channels to collect muscle data during exercise. Data is processed using ASP and DSP and sent through Bluetooth where a machine learning model classifies the exercise.

emg-project

Exploring EMG-based gaming applications

emg-signal-processing-library

A real-time signal processing library for EMG sensors. View the README.md to see raw vs. processed signals!

error-correcting-output-classifier

ERROR CORRECTING OUTPUT CLASSIFIER (ECOC)

examples

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fastai

The fastai deep learning library, plus lessons and and tutorials

gans

Tensorflow implementation of GAN architectures.

gettingdata

Course Project for Getting and Cleaning Data

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.

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.

hmfaysal-omega-theme

HMFAYSAL OMEGA is a minimalist, beautiful, responsive theme for Jekyll designed for writers who want their content to take front and center.

human-activity-recognition-using-cnn

Convolutional Neural Network for Human Activity Recognition in Tensorflow

ieee802_15_4_matlab

Matlab Code of the implementation of IEEE 802.15.4 Mac/Phy Layer

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

jcm-awgn-imp

Results submitted to ICASSP 2020 for the paper titled "Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders"

jemdoc_mathjax

jemdoc with MathJax support and more

jlt-python

Implementation of the Johnson–Lindenstrauss transform in Python

jupyter

Jupyter metapackage for installation, docs and chat

kernelmixturenetwork

Kernel Mixture Network implementation with some minor tweaks

kirtyvedula.github.io

Professional Website

lstm-attention

LSTM-Attention

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

ml

Implementations of classic Machine Learning algorithms

ml-examples

Machine Learning examples, mostly in R

modelswitching