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Muhammad Naveed Tabassum's Projects

dnn-speech-recognizer icon dnn-speech-recognizer

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

ecg-classification icon ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

end-to-end-asr-pytorch icon end-to-end-asr-pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

export_fig icon export_fig

A MATLAB toolbox for exporting publication quality figures

fista icon fista

FISTA implementation in MATLAB (recently updated FISTA with backtracking)

ggplot2-theme icon ggplot2-theme

a ggplot2 designed to make it easier to create publication quality figures

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

labs icon labs

Rmd source files for the HarvardX series PH525x

lars.jl icon lars.jl

Least angle regression and the lasso covariance test

latexdraw icon latexdraw

A vector drawing editor for LaTeX (Java Swing/JavaFX).

lenet-5 icon lenet-5

PyTorch implementation of LeNet-5 with live visualization

manim icon manim

Animation engine for explanatory math videos

mapie icon mapie

A scikit-learn-compatible module for estimating prediction intervals.

microarray-analysis icon microarray-analysis

Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)

ml_algorithms icon ml_algorithms

Machine Learning Algorithms - supplement for my Medium blog

pluralcrypt icon pluralcrypt

A GUI for decrypting Pluralsight videos downloaded from the Pluralsight Offline Player

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

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