Ainur Rohman's repositories
data-science-portfolio
Data science portfolio that I have worked on in academics, personal experiments and self-study
dinokikako
Dinokikako (Aplikasi Diagnosa Penyakit Ikan Koi)
purecss-francine
HTML/CSS drawing in the style of an 18th-century oil painting. Hand-coded entirely in HTML & CSS.
SimpleEmployeeApp
Simple employee app with express js, nodejs, mongodb & mongoose
SimpleImageApp
Simple image app : practice handle file uploads in nodejs.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
SimpleAuthApp
Simple authentication app with passportjs
smartbook-checker-library
Smartbook checker in the library
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Compendium-of-free-ML-reading-resources
Compendium of free ML reading resources
data-engineering-zoomcamp
Free Data Engineering course!
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
jekyll-cv
Lightweight jekyll theme for your CV with dark mode support
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
livelossplot
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Python-Data-Analysis-Third-Edition
Python Data Analysis, Third Edition, Published by Packt
pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation