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  1. baselineModel baselineModel Public

    A basic learning model (baseline) in order to investigate the effect of label noise on the performance of a classifier using neural networks.

    Python

  2. Combining-PENCIL-with-AMDIM Combining-PENCIL-with-AMDIM Public

    Combining PENCIL with AMDIM for image classification with noisy and sparsely labeled data. This repository contains the implementation code for this paper: https://dl.acm.org/doi/10.1145/3411408.34…

    Python

  3. EstimationTheory EstimationTheory Public

    Estimation of vehicle and obstacles positions using Extended Kalman and Particle filters

    Python 1

  4. PENCIL PENCIL Public

    PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019

    Python

  5. PotholeDetector PotholeDetector Public

    A smartphone app that identifies potholes created with Java in Android Studio.

    1