Stars
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
Fast and modular sklearn replacement for generalized linear models
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Natural Gradient Boosting for Probabilistic Prediction
Data Science Foundations: Python Scientific Stack
Python interactive dashboards for learning data science
Blogophonic – a Hugo blog theme by Formspree
This repository contains everything you need to become proficient in System Design
Python implementation of the rulefit algorithm
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A course in reinforcement learning in the wild
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
⭐️ A friendly language for building type-safe, scalable systems!
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
An open-source, low-code machine learning library in Python
Feature engineering package with sklearn like functionality
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
An Example Conjoint Experimental Design in Qualtrics
Replication code and downloadable example data sets for The Effect
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.