Scipy Libraries

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, …

mlcourse.ai is still in self-paced mode but we offer you Bonus Assignments with solutions for a contribution of $17/month. The idea is that you pay for ~1-5 months while studying the course materials…

This was a project that was built as part of project for CS663 (Digital Image Processing). This is a crude Python implementation of the paper "On The Effectiveness Of Visible Watermarks", Tali Dekel,…

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

The first major release of Verde was focused on meeting most of these initial goals and establishing the look and feel of the library. Later releases will focus on expanding the range of gridders ava…

A live audio spectrum analyzer using pyAudio, matplotlib and scipy. A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio.

The Python Toolbox for Robotics Nadeau, Nicholas A., Ilian A. Bonev, and Ahmed Joubair. "Impedance Control Self-Calibration of a Collaborative Robot Using Kinematic Coupling." Robotics 8.2 (2019): 33.

Nadeau, Nicholas A., Ilian A. Bonev, and Ahmed Joubair. "Impedance Control Self-Calibration of a Collaborative Robot Using Kinematic Coupling." Robotics 8.2 (2019): 33.

"What I cannot create, I do not understand" - Feynman. If you spot a mistake or omission, please feel free to create a new issue.

PyTSMod is an open-source library for Time-Scale Modification algorithms in Python 3. PyTSMod contains basic TSM algorithms such as Overlap-Add (OLA), Waveform-Similarity Overlap-Add (WSOLA), Time-Do…

The following is the textbook used for the Scientific Computing Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and advanc…

Assuming we have the dataset in a loadable format (e.g., csv), here are the steps we follow to complete a machine learning project. A couple of notes before we go on. First of all, machine learning i…

Assuming we have the dataset in a loadable format (e.g., csv), here are the stepswe follow to complete a machine learning project. A couple of notes before we go on. First of all, machine learning is…

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustra…

Python module to analyse skeleton (thin object) images

Fourier and Images is a project that tries to draw images with circles. Note that you'll need ImageMagick only if you want to save stuff to a gif. Getting one set of circles with one image: Pikachu G…

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Technical and sentiment analysis to predict the stock market. The aim of the project is to investigate the performance of various machine learning models to predict stock market movements based on hi…

Contents: Programming Assignment #1: Linear Regression (Week 2) Programming Assignment #2: Logistic Regression (Week 3) Programming Assignment #3: Multi-class Classification and Neural Networks (Week…

This repository contains tutorials on understanding and applying signal processing using NumPy and PyTorch. In order to begin the signal processing adventure, we need to understand what we are dealin…

The main goals for Jamaisvu over Dejavu is: Tested only on MacOS and Ubuntu 16.04 What dependencies you will need to run Jamaisvu: Ensure that you have a MySQL Database instance setup and running on …