Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals"

Overview

The Temporal Robustness of Stochastic Signals

Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals"

Case studies:

  • Cooperative Driving at a T-Intersection
  • Cooperative Servicing
  • Running example
Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

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Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021

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ReAct: Out-of-distribution Detection With Rectified Activations

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A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

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DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

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Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

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PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

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NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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