AlexanderBV1

jupyter-ai

A generative AI extension for JupyterLab

sfguide-intro-to-machine-learning-with-snowflake-ml-for-python

performance

:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

tcav

Code for the TCAV ML interpretability project

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

showcase

php-proxy

A PHP proxy script with https and post support

portrait-shadow-manipulation

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

fastbook

The fastai book, published as Jupyter Notebooks

machinelearning-az

Repositorio del Curso de Machine Learning de la A a la Z con R y Python

awesome-rl

Reinforcement learning resources curated

coloquioestadistica2017

Materiales de trabajo del coloquio