Name: Dimas Rafi Ramaharmuzi
Type: User
Company: Binus Online Learning
Bio: Geeks, Nerd, Enthusiasm for learning, coding, and etc
Twitter: RafiMuzi
Location: Jakarta
Blog: s.id/17dqn
Dimas Rafi Ramaharmuzi's Projects
Android Pemula
Cut and paste your surroundings using AR
A simple script that turns .mp4 files into ASCII characters
Don't Copy
This repository for documentation what I have learned about Machine Learning
Edge Inference in Browser with Transformer NLP model
The content behind MDN Web Docs
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
PyTorch package for the discrete VAE used for DALLΒ·E.
End to End Solution (Task 5) untuk Data Scientist IDX Partners Virtual Internship Rakamin Academy
Repository for Learning Data Engineer
This repository for Demo Day ML with TensorFlow from Digitalent Kominfo
Course Materials on Digital Talent - KOMINFO Program
Repository untuk Tugas Akhir mata kuliah Web Programming (COMP6621036) Universitas Bina Nusantara
This repository for Individual Assignment (Tugas Personal) 1 , Course Web Programming at Bina Nusantara (BINUS) Online Learning. Dimas Rafi Ramaharmuzi - 2301944696 https://drmuzi.github.io/driving_school/public/
Config files for my GitHub profile.
This repository contains the source code for the paper First Order Motion Model for Image Animation
:zap: Dynamically generated stats for your github readmes
(WIP) Kotlin extensions (KTX) for the HUAWEI Map Kit and its Utility Library.
Demonstration of usage of Huawei or Google services for Maps, Location and Analytics in different flavors
An Android application related to Huawei Map Kit. πΊ
This repository for HUWAEI Training Android Apps with HMS Kit. HMS Foundation Course at HUAWEI Developer.
This notebook will be used for the Peer Reviewed Assignment of the Tools for Data Science course. Click HERE to download the lab notebook (.ipynb)