Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Measure and Boost Backdoor Robustness

Benchopt benchmark for ResNet fitting on a classification task

DomainBed is a suite to test domain generalization algorithms

MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)

Website of the paper "Real Attackers Don't Compute Gradients": Bridging the Gap between Adversarial ML Research and Practice

Statistical Process Control Charts Library for Humans

A General Toolbox for Identifying Object Detection Errors

Pytest plugin for testing console scripts

The Places365-CNNs for Scene Classification

Certified Patch Robustness via Smoothed Vision Transformers

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

States Refinement LSTM

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Most popular metrics used to evaluate object detection algorithms.

General Multi-label Image Classification with Transformers

This is the implementation of the ECCV 2020 paper "Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency"

Vincent, B. T. (2015) Bayesian accounts of covert selective attention: a tutorial review

Primary repository for the Trilinos Project

Simple indexing of plaintext columnar data (package coming soon)

Adaptive Monte Carlo Multiple Testing

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Simpler human-readable labels for ImageNet 🏷

End-to-End Object Detection with Transformers