Refine high-quality datasets and visual AI models

All-In-One VLM: Image + Video + Transfer to Other Languages / Domains (TPAMI 2023)

A game theoretic approach to explain the output of any machine learning model.

Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".

Examples of how to create colorful, annotated equations in Latex using Tikz.

A curated list of awesome resources combining Transformers with Neural Architecture Search

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Bayesian Optimisation for String Spaces

Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

Python package to corrupt arbitrary images.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)