Name: Muh. Angga Muttaqien
Type: User
Company: 筑波大学 (University of Tsukuba)
Bio: Hi, I'm AI & Robotics Researcher. Greatly passionate about teaching intelligent behaviours to the smartest machine ever in the human's world.
Twitter: muhamuttaqien
Location: Tsukuba, Japan
Blog: https://www.tsukuba.ac.jp/en/
Muh. Angga Muttaqien's Projects
Keras implementation of a CNN network for age and gender estimation
On the one hand, the idea of decentralisation behind Blockchain addresses the challenge of trustworthy AI. On the other hand, the tradeoff between security, speed of transaction and energy intensity behind Blockchain could be possibly smartly managed. AI for Blockchain seems legit to me!
🔬 Absolutely comfort lab for me to work around with my own AIs and to empirically observe how powerful and impactful these technologies are. I do love these technologies!
🔬 Absolutely comfort lab for me to work around with my own AIs for Robots!
Your learning path in Artificial Intelligence, including Machine Learning and Deep Learning, from zero to hero!
The Most Cited Deep Learning Papers. Another reference listing up any machine & deep learning papers and codes please check here: https://paperswithcode.com/sota
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Para developer keren asal Indonesia yang bisa diundang ke acara komunitas dan konferensi sebagai pembicara atau narasumber
Basic Machine Learning class provided by Indonesia.ai
🌏 Feature extraction of soilsection images using cv2, numpy and matplotlib
Kumpulan Kode-Kode Selama Belajar Course Python Programming di Indonesia AI
The Python programming language
This matery from our 2016 Data Science bootcamps student's
Complete machine learning model codes
Deep Convolutional Generative Adversarial Networks
Implementation of Decision Tree C4.5
Repository for series of Medium Articles introducing Deep Learning for NLP.
Repo for the Deep Reinforcement Learning Nanodegree program
Hands-on Deep Reinforcement Learning, published by Packt
Projects and algorithms in the framework of Deep Reinforcement Learning
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
The world's simplest facial recognition api for Python and the command line
All materials related to my preparation for the 1st and 2nd round interviews as Machine Learning Software Engineer (Search Product) at Google Tokyo.
This is an app for al-Qur'an using react-native, react-redux, vector-icons, react-navigation and native base UI template.
javascript-awesome apps for my first javascript book
🚀 Machine Learning with JavaScript using two popular algorithms for classification and regression problems including linear-regression and k-nearest neighbor
:globe_with_meridians: This is visualization of KML files for road damage detection by AI tech.
👨🏻💻 My own repository to explore LearnQuran tech product in particular -obviously- AI stuffs