Numpy Libraries

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Numpy Libraries

This repository consists of all my Machine Learning Projects.

File Injector is a script that allows you to store any file in an image using steganography

If that doesn't work, you can try: You don't need to choose a particular one when decrypting a file, it will be selected automatically from the folder. [0] Existing key [1] New key

Bootcamp to learn Python for Machine Learning

No prior Python programming or Machine Learning experience is required! Your mission, should you choose to accept it, is to come and learn some of the essential knowledge for Machine Learning, Data S…

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Data Science Hacks is created and maintained by Analytics Vidhya for the data science community. It includes a variety of tips, tricks and hacks related to data science, machine learning These Hacks …

3D mathematical functions using NumPy

Provides 3D mathematical functions using the power of NumPy. Maintain a rotation (quaternion) and translation (vector) and convert to a matrix This is a long winded example to demonstrate various fea…

64bit multithreaded python data analytics tools for numpy arrays and datasets

An open-source, 64-bit Python analytics engine for high-performance data analysis with multithreading support. Riptable supports Python 3.10 through 3.12 on 64-bit Linux and Windows. Similar to Panda…

Geospatial image resampling in Python

Pyresample offers multiple resampling algorithms including:

The Python Toolbox for Robotics

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.

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

cc3d is an implementation of connected components in three dimensions using a 26, 18, or 6-connected neighborhood in 3D or 4 and 8-connected in 2D. This package uses a 3D variant of the two pass meth…

Astus' Mathematical Display Application : A GUI for Mathematics (Calculator, LaTeX Converter, Plotter, ... )

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.

This repository is dedicated to Python courses with a focus on artificial intelligence, data science, and practical machine learning. I have been conducting these courses in various levels since 2021.

This repository is dedicated to Python courses with a focus on Artificial Intelligence, Data Science, and practical Machine Learning. I have been conducting these courses in various levels since 2021…

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

It is an extension module of Python which is mostly written in "C". It provides various functions which are capable of performing the numeric computations with a high speed. NumPy provides various po…

A collection of analytics methods implemented with Python on Google Colab

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

Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.

Binaries are available for some platforms. If your platform is not supported, pip will attempt to install from source, in which case follow the instructions below. The scipy EDT took about 20 seconds…

Achieve your marketing goals with the data analytics power of Python

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of it based on the segments. The cou…

Fast OpenGL Mathematics (GLM) for Python

And finally imported and used: In case you need the size of a PyGLM datatype, you can use

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Heat is a distributed tensor framework for high performance data analytics. With Heat you can: If you need a functionality that is not yet supported: It should print something like this: In order to …

A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Jiayi Weng (jiayiwen), Zixu Chen (zixuc) The above output shows all extensions have successfully installed. We have prepared the test suite to run: This script will download 8 tests from GitHub, and …

Automated Testing for Set-Top Boxes and Smart TVs

Stb-tester issues commands to the device-under-test in the same way a real user does (typically using an infrared remote control). Stb-tester then checks the behaviour of the device-under-test by ana…

Tools for r/Place data visualization with Blender and Python

Python scripts and instructions for: The scripts can be run with Jupyter Notebook guides, or by using the provided command line tool. Some basic knowledge of Python and Blender is assumed. It also he…

An open-source Python library for audio time-scale modification.

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…

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

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…

A constantly updated python machine learning cheatsheet

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…

Simulate dynamic systems expressed in block diagram form using Python

Key features include: We first sketch the dynamic system we want to simulate as a block diagram, for example this simple first-order system which is just 15 lines of executable code. The red block an…

Extra features for Python's JSON: comments, order, numpy, pandas, datetimes, and many more! Simple but customizable.

The [pyjson-tricks] package brings several pieces of functionality to python handling of json files: As well as compression and disallowing duplicate keys. Thanks for all the Github stars⭐! You can i…

A constantly updated python machine learning cheatsheet

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…

Simple Smart Pipe: python productivity-tool for rapid data manipulation

SSPipe is a python productivity-tool for rapid data manipulation in python. It helps you break up any complicated expression into a sequence of simple transformations, increasing human-readability an…

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