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Differentiable relaxations of tree-based models.

An open-source, low-code machine learning library in Python

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A Toolbox for Adversarial Robustness Research

Labs and demos for courses in the Data Engineer track of GCP Training (http://cloud.google.com/training).

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

New Custom Firmware for Xiaomi Cameras based on Hi3518e Chipset. It features RTSP, SSH, FTP and more!

Fit interpretable models. Explain blackbox machine learning.

Code for "High-Precision Model-Agnostic Explanations" paper

gathers Python stack for DevOps, these are usually my basic templates use for my implementations, so, feel free to use it and evolve it! Everything is Docker!