DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation

MulDEns is an ensemble approach for multi-domain generalization

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

A native PyTorch Library for large model training

Personal Webpage

Reference implementation for DPO (Direct Preference Optimization)

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

The first open Federated Learning framework implemented in C++ and Python.

Image augmentation for machine learning experiments.

Heteroscedastic temperature estimation for OOD detection

Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions

code for: Calibration of Asynchronous Camera Networks: CALICO

Dense Prediction Transformers

Unofficial implementation of Perceiver IO

Riemannian Convex Potential Maps

A Python toolbox for performing gradient-free optimization

Active learning for systematic reviews

Retrieve information from DBLP and update BibTex files automatically

TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"

PyTorch implementation of COVID-Net https://github.com/lindawangg/COVID-Net

It contains codes for generating non-parametric priors used in the paper titled "Non-Parametric Priors for GAN"

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

Approximating Wasserstein distances with PyTorch

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

A PyTorch Library for Meta-learning Research

Reinforcement Learning in PyTorch