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Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Python implementation of binary and multi-class Venn-ABERS calibration
Uncertainty quantification with PyTorch
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
The official repository of the OpenTrench3D dataset: A 3D Point Cloud Dataset of Open Trenches for Semantic Segmentation of Underground Utilities
Model predictive control (MPC) implemented in Matlab using CVX
official code repository for the paper "Beyond AUROC & co. for evaluating out-of-distribution detection performance"
"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?" (CVPR 2024)
moDel Agnostic Language for Exploration and eXplanation
3 version implementation (torch, tensorflow, pure numpy)
Refine high-quality datasets and visual AI models
Putting GaelVaroquaux's mutual_info gist in a project until it has a better home.
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
Uncertainty evaluation metric for Quantification of Uncertainty in Brain Tumour Segmentation (QU-BraTS) 2020 challenge
🤖🐑 It's a sheep, it's a dolly, it's a following robot. Dolly was born to be cloned.
Pedestrian simulator powered by the social force model
Annotation tool for semantic and instance segmentation, with automated help from the GrabCut implemented in OpenCV.
TensorFlow model for training AdapNet++ for semantic segmentation
Navigation and localisation dataset for self driving cars and autonomous robots
Hierarchical Scene Annotator (HSA) - Web Application
Python version of http://www.ee.columbia.edu/ln/rosa/matlab/gammatonegram/
transformer for ASR-systerm (via tensorflow2.0)
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
A strong HOI Detection model without Frills!