robust

First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart. **You'll come back to MEGA-ASR, after the rest fail in the wild. ⭐**

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

Object detection on multiple datasets with an automatically learned unified label space.

A certifiable defense against adversarial examples by training neural networks to be provably robust

[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Python package to transfer data in a fast, reliable, and packetized form

Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021

Robust Kalman filter with adaptive noise statistics estimation.

An introductory course intrinsic triangulations for powerful & robust geometry processing --- tutorial code and links.

Robust multimodal image registration via keypoints

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

PyVESC is an easy to use and robust Python implementation of the VESC - Open Source ESC communication protocol

[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

Constrained Delaunay Triangulation (Python)

Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation