ArefMq/sprout_coding_practice

Stars
1
Language
Python
Created over 2 years ago
Updated over 2 years ago

ArefMq/sprout_coding_practice

ArefMq

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Coding Practice for first interview of Sprout.ai

SoccerBallDetection

This project is aimed to detect the soccer ball via camera. This project orginally is to solve the ball detection problem for the humanoid robots (Humanoid league and SPL) in RoboCup competitions.

action-recognition-via-snn

Human Action (Hand Gestures) Recognition with Spiking Neural Network

ML-Project

Statistical Learning Course Final Project

autonomous-vehicle

A test iteration for autonomous vehicle

simple-nn

Simple Neural Network Implementation

Jupyter Notebook

to3d_desktop

Desktop Application for To3D Project

PaintBallApp

SpikeNeuralNetwork

Comparing different structure of Convolutional, Recurrent, and/or Spike Neural Network

MRLVR17

MRL Virtual Robot Rescue Simulation 2017 RoboCup

PSO-sample

goalPerceptor

Goal post perceptor module. This module is developed in/for B-Human framework.

BMS-Core

BMS Core for adib/sorosh project

RandomWalker

JS Implementation of the Random Walker Algorithm

SPLBallPreceptor

White ball (RoboCup 2016 official ball) preceptor patch for B-Human code release 2013.

ArefMq.github.io

My personal Github page

SoccerBallDataSet

Data set of soccer ball

SPLCommunicationTester

spp

S, and S++ Language Compiler

VoronoiGridEditor

autoencoder-test

Jupyter Notebook

LinuxDaemon

uNEAT

Micro Neuro-Evolution of Augmenting Topologies (NEAT) Framework in Python

cafe-data-contest

House Price prediction - A project for Divar-Data contest in CafeBazaar

tiny-prob

TinyProb is a tool, letting user add visualized debug prob to their python code.

sphinx-doc-test

Test Autogenerated Document using Sphinx