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Mohd Fitri Alif Bin Mohd Kasai's Projects

thesemicolon icon thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

thinkdsp icon thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

tiny icon tiny

Tiny Face Detector, CVPR 2017

tiny-cnn icon tiny-cnn

header only, dependency-free deep learning framework in C++11

torchmoji icon torchmoji

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

toupee icon toupee

A library for Deep Learning Ensembles

toxic icon toxic

Toxic Comment Classification Challenge, 12th place solution https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

train-detector icon train-detector

Input files and scripts necessary to train the license plate detector.

transfer-learning-suite icon transfer-learning-suite

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

transformer-keras icon transformer-keras

Using Keras + Tensor Flow to Implement Model Transformer in Paper "Attention Is All You Need". 使用 keras+tensorflow 实现论文"Attention Is All You Need"中的模型Transformer。

tri-base-line-follower icon tri-base-line-follower

Basically to make a line-follower robot was an easy task but to create the line-follower with accurate result and fast response it will take some time, to complete this project we have to take care of the mechanical robotic body, because if there will be any little difference of angle then it would cost us in the coding, after completing the mechanical body of robot, in coding section we have used the Raspberry-PI board and python language for faster execution and faster response. For the motor control there has to be take care of speed of the back two motors because if any motor will rotate faster than other then it'll create error in the line following and our formula will be wrong for that particular path.

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