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  1. Summaries of papers on machine learning, computer vision, autonomous robots etc.

    241 36

  2. Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

    Jupyter Notebook 33 6

  3. Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

    Python 76 13

  4. 3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

    Python 257 71

  5. PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

    Python 457 120

  6. TensorFlow implementation of ENet, trained on the Cityscapes dataset.

    Python 239 71

536 contributions in the last year

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October 2020

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