Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Analogy.LogViewer.RegexParser
Regular Expression Parser for simple text files
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome-Chatbot
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
basic-image-processing-tutorial
Basic Image Processing Tutorial
Books
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
CEILNet
Implementation of ICCV 2017 paper "A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing"
CenterFace
face detection
Centroid-Based_Object_Tracking
A case study: centroid based object tracking
cloudfront-standard-logs-insights
Web application to get insights to CloudFront standard logs stored in S3
iris-mygh's Repositories
iris-mygh/Image-Processing-Python
A compilation of image and video processing scripts and demonstrations that apply multiple operations and calculations using numpy, PIL and openCV.
iris-mygh/Timetable-Generator-University
A web application that generates timetables for university students at the University of Toronto
iris-mygh/kaggle-5-day-data-cleaning-challenge
iris-mygh/speaker_adapted_tts
Making a TTS model with 1 minute of speech samples within 10 minutes
iris-mygh/basic-image-processing-tutorial
Basic Image Processing Tutorial
iris-mygh/Python2vsPython3
So sánh một số khác biệt cơ bản giữa Python2 và Python3
iris-mygh/multi-camera-raspberry-pi
Enables the use of Multi Camera Adapter Module for Raspberry Pi
iris-mygh/data-science-tutorial
Code material for a data science tutorial
iris-mygh/PedestrianCounter
Pedestrians detection and tracking using OpenCV on Python
iris-mygh/Web-log-analysis-using-MapReduce-Python
I had the data set which was an anonymized Web server log file from a public relations company whose clients were DVD distributors. My goal was to write my Mappers and Reducers from scratch using Python and to answer to some questions about this dataset. I did the data processing on my your pseudo-distributed cluster (I used a virtual machine).