Stars
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linβ¦
AirLLM 70B inference with single 4GB GPU
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
πΊ Discover the latest machine learning / AI courses on YouTube.
Dot access dictionary with dynamic hierarchy creation and ordered iteration
An implementation of figlet written in Python
Make your functions return something meaningful, typed, and safe!
Rembg is a tool to remove images background
A computer algebra system written in pure Python
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
Change Python code while it's running without losing state
Instantly load StackOverflow results in your terminal when an exception is thrown
Visually trace Python code in real-time.
π Python-powered shell. Full-featured and cross-platform.
π Performance analysis for Python snippets
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
iPython Notebooks for NumPy and Python Primers
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
amanchadha / Efficient_Python_tricks_and_tools_for_data_scientists
Forked from khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientistsEfficient Python Tricks and Tools for Data Scientists