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A complete daily plan for studying to become a machine learning engineer.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
A flask template with Bootstrap, asset bundling+minification with webpack, starter templates, and registration/authentication. For use with cookiecutter.
A curated list of awesome Flask resources and plugins
Companion code to my O'Reilly book "Flask Web Development", second edition.
Berisi API tentang Data Indonesia ataupun API yang dibuat oleh developer Indonesia <3
Offline Reinforcement Learning Reading Group
[Book-2021] Practical MLOps O'Reilly Book
YSDA course in Natural Language Processing
Personal Data Engineering Projects
Jupyter notebooks for the Natural Language Processing with Transformers book
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Anomaly detection related books, papers, videos, and toolboxes
The easiest way to run Airflow locally, with linting & tests for valid DAGs and Plugins.
Curated list of resources about Apache Airflow
Code for Data Pipelines with Apache Airflow
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Curated Reinforcement Learning Resources for Natural Language Processing
😎 A curated list of the Question Answering (QA)
Survey on Machine Reading Comprehension
Resources, datasets, papers on Question Answering
A curated list of resources for Document Understanding (DU) topic
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A curated list of deep learning resources for computer vision
A curated list of data mining papers about fraud detection.
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)