ammarchalifah Goto Github PK

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

airflow-pipeline

Project repository of Apache Airflow, deployed on Docker in Amazon EC2 via GitLab.

ammarchalifah.github.io

Ammar's personal coding space

ammaru-kub-bot

LINE chatbot to perform simple commands (sending pictures from static directory and sending predetermined text messages) built with Flask and Line Chatbot SDK. The script is deployed to Heroku, then connected to LINE messaging API via its webhook service.

data-eng-zoomcamp

Repository to store projects and other notes from the DataTalks' Data Engineering Zoomcamp.

datapipeline-simple-ingestion

Simple data pipeline to migrate a table from source Postgres table to destination Postgres table.

dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt-databricks

A dbt adapter for Databricks.

docs.getdbt.com

The code behind docs.getdbt.com

faster-rcnn-implementation

Object detectio inference using Faster RCNN model. Functions modified from Tensorflow Object Detection API.

hadoop-practice

Personal learning repository to understand Hadoop, YARN, Spark, and HIVE.

indonesia-legislative

mlops-smoke-detection

This project is created to learn best practices of MLops and submitted as my project in DataTalksClub's MLops Zoomcamp.

moving-granary-background-selector

Simple implementation to generate grayscale background image from a video stream. Implemented using OpenCV library and Python language.

multiple-object-color-tracker

Multiple object tracker based on color implemented with Python and OpenCV.

people-counting

Framework for people counting algorithm utilizing TensorFlow 2 Object Detection API.

people-tracker-and-counter

Python based object detection and tracking for collecting data from CCTV. Built on TensorFlow Object Detection API 2 and centroid tracker implementation by Pyimagesearch.

plotneuralnet

Latex code for making neural networks diagrams

simple-spam-classification

This simple program classify a text message as spam/not spam. It uses NLTK and Pandas library. The mechanism behind the classification is by using a training data with spam/not spam label, and by using direct comparison between keywords from the spam and not spam categories. For words that appear in spam categories and not in not spam categories, it will be saved as spam keywords. When a test text given as an input, the program will see whether it has the spam keyword in it or not, then classify it accordingly.

tensorflow

An Open Source Machine Learning Framework for Everyone

video-analytics-bisa-ai

Basics of video analytics

videorcnn

RCNN object detection implementation with python from scratch.