Deimoom/Imagen
Text-to-Image • Updated
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image imagewidth (px) 1.02k 2.05k | label class label 4 classes |
|---|---|
0Data Structures & Algorithms | |
0Data Structures & Algorithms | |
0Data Structures & Algorithms | |
0Data Structures & Algorithms | |
1Deep Learning, Deep RL | |
2Statistics & Probability | |
3huggingface-cheatsheets | |
3huggingface-cheatsheets |
My Notes 📓
This repository contains my lecture notes from graduate school on following topics 👇🏼
- Data Science: 8 cheatsheets
- Machine Learning (follows Tom Mitchell's book): 25 pages of notes
- Statistics: 9 cheatsheets
- Deep Learning: 12 cheatsheets, will upload more
- Image Processing (follows digital image processing book): 21 cheatsheets
- Data Structures and Algorithms (follows this book by Goodrich): 26 cheatsheets
✨ Some notes ✨
- Most of these notes aren't intended to teach a topic from scratch but are rather notes that I took and compiled during my midterm & finals, might help you remember things, study for exams, and prepare for job interviews.
- There might be very small Turkish notes in few of the pages, you can ignore them.
- I will upload more notes as I find or create them. Will soon compile my Hugging Face cheatsheets so stay tuned!
- It's appreciated if you could improve the quality of PDF handwritten scans or convert them to JPEG, you can open a PR to this repository.
Updates 🎉
- I uploaded hierarchical clustering and improved version of K-means.
- I compiled every lecture in separate PDFs, and also compiled those into single PDF, found under
Compiled PDFs. - I uploaded Hugging Face cheatsheets.
- Downloads last month
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Size of downloaded dataset files:
1.88 MB
Size of the auto-converted Parquet files:
1.85 MB
Number of rows:
8
Models trained or fine-tuned on merve/my_notes