Scratch Libraries

6 Components & Libraries

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Scratch Libraries

Data-Science-and-Machine-Learning-from-Scratch

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

I write the notebooks to contain: Intuition Mathematics and Statistics behind the tool/algorithm Code implementation from scratch (using numpy) Application to real (publicly available) data If you sp…

Hyprland extensions made easy [maintainer=@fdev31]

Automated testing have improved a lot If you feel like contributing, you are welcome. It can be done in many different ways:

Scratch API wrapper with support for almost all site features and cloud requests framework

This library can set cloud variables, follow Scratchers, post comments and do so much more! It has special features that make it easy to transmit data through cloud variables. Run the following comma…

Basic Machine Learning implementation with python

FULL Implementation of RCNN from scratch

Computer vision as we know always move around classification and object detection and hence discussing some of the early breakthroughs are pretty sure helpful in understanding modern research. R-CNN …

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Valentyn N Sichkar. Neural Networks for computer vision in autonomous vehicles and robotics // GitHub platform. DOI: 10.5281/zenodo.1317904 Valentyn N Sichkar. Neural Networks for computer vision in …

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