for testing downstream DLA improvements

Materials of the Nordic Probabilistic AI School 2022.

Python Framework to calibrate confidence estimates of classifiers like Neural Networks

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

A collection of LaTeX templates used for research, courses, and miscellanea.

High-quality implementations of standard and SOTA methods on a variety of tasks.

Design your own matplotlib stylefile interactively

Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

An easy-to-use interface for measuring uncertainty and robustness.

Code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

Simple docker deployment of document layout analysis using detectron2

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

My solutions to the challenges on HackerRank

Google Research