Blog

A* (Astar) is a famous path finding algorithm.

I discovered Golang recently and wanted give it a try it on a basic algorithmic implementation so here it is… :
https://github.com/EParisot/Astar_Go

Then we implemented a “N’Puzzle” solver, in Golang :
https://github.com/EParisot/N-Puzzle

Generative Adversial Network with Keras : 1D / 2D Data generation

https://github.com/EParisot/GAN_Keras

Generated images examples (just a few epochs performed):

Implemented from : https://medium.com/sigmoid/a-brief-introduction-to-gans-and-how-to-code-them-2620ee465c30

Raspberry IMU live data visualiser

Print values and show 3D representation of the IMU module from live data


https://github.com/EParisot/IMU

DSP Explorations about Sine Waves and the Fast Fourier Transform

Sine Waves Generator (multi-frequencies) and Player (keyboard)
Filters (low-pass, high-pass, band-pass)
Analyser (extract tones from spectrum)

https://github.com/EParisot/Sine_wave_DSP

Django / Web implémentation of my previous project  : http://www.eparisot.com/imagesclassifier_gui

You can now host the backend on your machine and serve Machine learning task to any client !

Just go to https://github.com/EParisot/IC_GUI_web and follow instructions, enjoy !

Machine Learning Images Classification in Graphical User Interface

Take pictures
Labelize them
Define a Model Design
Train your model
Test your model

Without any line of code !

This project invites you to create a virtual arena and to compete with programs coded in a simplistic language. You will thus approach the design of a VM (with the instructions that it recognizes, the registers, etc), and the problems of compilation of an assembly language in bytecode. With, as a bonus, the pleasure of having your champions compete on your arena!

Your ant colony must move from one point to another. But how to make it as short as possible? This project introduces you to graphing algorithms: your program will have to intelligently select the precise paths and movements that these ants must take.

This project asks you to sort data on a stack, with a limited set of instructions, in fewer possible moves. To succeed, you will have to manipulate different sorting algorithms and choose the most appropriate solution (or solutions) for an optimized ranking of data.