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A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …
Approaching (Almost) Any Machine Learning Problem
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
Deep Learning Fundamentals -- Code material and exercises
An IPython magic extension for printing date and time stamps, version numbers, and hardware information
A resource for learning about Machine learning & Deep Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Study guides for MIT's 15.003 Data Science Tools
RStudio Addin: Copy Image from Clipboard into RMarkdown .Rmd file
google / pyink
Forked from psf/blackPyink, pronounced pī-ˈiŋk, is a Python formatter, forked from Black with a few different formatting behaviors.
Examples for https://github.com/optuna/optuna
summarytools in jupyter notebook
Read-only mirror of the pkgpurl R 📦 GitLab repo https://gitlab.com/rpkg.dev/pkgpurl. Please report any issues there!
A Quarto filter extension to add contents from external source or code files
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Convert rich-text on your clipbaord to markdown
A collection of visual guides to help applied scientists learn causal inference.
A collection of rmarkdown files with bugs, to practice solving.
A high performance implementation of HDBSCAN clustering.
Learn tidyverse in R via a set of swirl (https://swirlstats.com) lessons on introductions to tidyverse.
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