AlexanderBV1's Stars
fastai/fastbook
The fastai book, published as Jupyter Notebooks
aikorea/awesome-rl
Reinforcement learning resources curated
py-why/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.
jupyterlab/jupyter-ai
A generative AI extension for JupyterLab
Nixtla/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 🚀.
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
jenssegers/php-proxy
A PHP proxy script with https and post support
tensorflow/tcav
Code for the TCAV ML interpretability project
joanby/machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
google/portrait-shadow-manipulation
rapidsai-community/showcase
Snowflake-Labs/sfguide-intro-to-machine-learning-with-snowflake-ml-for-python
JGFuentesC/coloquioestadistica2017
Materiales de trabajo del coloquio