Official Implementation of "Practical Kernel Selection for Kernel-based Conditional Independence Test"

List of summer schools in machine learning + related fields across the globe

Neural Networks: Zero to Hero

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Examples and guides for using the OpenAI API

Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Jupyter notebooks from the scikit-learn video series

Code to compute permutation and drop-column importances in Python scikit-learn models

A flexible, high-performance serving system for machine learning models

Paquete de R con herramientas para facilitar el proceso de acreditación en la ANECA

Pen and paper exercises in machine learning

SynapsesSA is an R package designed to process and analyze patterns in the three-dimensional spatial distribution of cortical synapses

Articles on machine learning

Data and R scripts accompanying the paper "Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts"

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Code that'll help you kickstart a personal website that showcases your work as a software developer.

Advanced R course at UC Irvine - Fall 2020

A generalized score-based method for Causal Discovery

🔧 .files, including ~/.macos — sensible hacker defaults for macOS