nurmuhimawann

Nur Muhammad Himawan's repositories

C22-098-Fruity-Website

🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.

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MoveeApps

🌀 #10. "Belajar Fundamental Front-End Web Development"

Language:JavaScript2 10

airline-passenger-satisfaction

🌀 #12. "Machine Learning Operations (MLOps) - Airline Passenger Satisfaction Prediction"

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notes-app-back-end

Build simple RESTful API with Hapi Framework

Language:JavaScript100

StarFood-Website

A simple restaurant catalog tailored to your taste makes it easy to choose the best dining options in the nearby area, from cozy cafes to trendy eateries.

Language:JavaScript1 10

a443-MLOps

Latihan Membuat Model Serving Menggunakan Flask - MLOps

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Bookshelf-API

"Belajar Membuat Aplikasi Back-End untuk Pemula" - Build RESTful API with Hapi Framework

Language:JavaScript000

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

MIT000

ByteCraftChallenge

A landing page for Travlog using React.js and Tailwind.css

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customers-churn-pipelines

An End to End customer churn prediction solution

Language:Python000

explore-banyuwangi

Study Project: GDSC UIN Jakarta

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fastapi-api-versioning

Language:Python000

flask-google-cloud

Flask api on GCloud

Language:Python000

gdsc-web-dev

Study Jam - GDSC UIN Jakarta

Language:JavaScript000

lung-cancer-datasets

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mall-customer-visits

GPL-3.0000

ML-MobileSDK

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mlflow-object-detection

This project was made by using YOLOv8 for object detection task, trained on MSCOCO dataset which included (80 classes), and with the usage of MLFlow framework to track and manage the model.

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