Everything under the sun that is vaguely related to Machine Learning
Hey I have been reading a lot, so why not document everything.
I might use this as my knowledge base, or maybe just stick to hackmd
OR even better, I’ll replicate all notes / paper summaries from hackmd and medium, to push them here !
Paper Summaries
To be added, as I compile notes from HackMD and Medium to this repo
- All paper summaries, index page
- Energy disaggregation
- Identify Brick Kilns through satellite imagery
- Geogrpahical Erasure in Language Model Generation
- Print media bias on air pollution
- Long Tailed Visual Recognition
ML in Production
Breaking down jargon filled tech blogs into simple and short notes
- All tech blog notes, index page
- Data Science Applications for Search
- Summary of 3 Netflix Tech Blogs
龴ↀ◡ↀ龴
cat as a line break
A bit advanced topics
To be added, as I compile notes from HackMD and Medium to this repo
- All Advanced topic notes, index page
- Positional Encoding in Transformer Blocks
- Difficulty with Training RNNs
- Vision Transformers
-
Long Tailed Visual Recognition,
talks about Long Tail Distribution, Contrastive Pairs, von Misher Fisher distribution (gaussian on a curve).
I know I know, this sounds more like a paper summary, yes it is.
This is also referred in the paper summary directory - Weight Initialization in Neural Networks
- What even are RAGs, Saw Sony Research asking for RAGs for undergrad research positions, hence this.
Basics of Machine Learning
To be used as a refresher, interview prep, or just to gloss around
- All basic notes, index page
- IDL by Alexander Amini Notes
- BSoC Summary Sheet, in drive, whish was a fun toned down ML Primer for sophomores
- Linear Least Squares Method
- Stock Price Regressor at IITK