Update or CHANGELOG are recorded here: MLOps Notebooks: Daily Learning
All the implementations are running with this current specs and Google Colab Pro.
Approximately 2 hours/day to learn or update some implementations. On my calender is set from 5.00 - 7.00 (maybe i will provide some sheets later), but if i still as a morning person.
The Hopes that can be implement for this repo:
- What is
'Machine Learning'
or'Artificial Intelligence'
in general and productions. - Operations for Implementations
- Imitating training-data-analyst, but be more encyclopedic ways for MLOps.
- Well, just my preferable ways to learn for the swe + ml/ops + devops in programmic way, So not just only the theoritical thigs.
- can be maintainble as Open Source, specifically for Indonesian Developers
- Critical Thinking > Traditional Thinking
- Frameworks?? we will see ;)
binding
: Well, we can learn why distinguished nn framework needs to be implemented for the other OOP paradigms programming languages.device
: Programmatic ways to served and used the ml/ai resources on types of applications.docs
: Some interesting parts of resources will be surf on internet.examples
: Not just learn the basics, but completely true that must used to real use-case examples.extra
: some research implementations.paradigm
: The core of ml/ai. if you don't understand paradigms, maybe kind of like 'zombie' or 'stupid'.test
: we need TDD implementations for some sources so it'll clean and maintainable.
For now, this repo only dedicated for myself. So, hopefully we can work together in more futures.