Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

Last update: Dec 02, 2022

Related tags

Overview

Anomaly Detection in Multi-Agent Trajectories for Automated Driving

This is the official project page including the paper, code, simulation, baseline models and the dataset.

CODE WILL BE RELEASED SOON.

Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis
Accepted for poster at CoRL_2021 in London, UK.

Owner

GitHub Repository

Project to create an open-source 6 DoF input device

6DInputs A Project to create open-source 3D printed 6 DoF input devices Note the plural ('6DInputs' and 'devices') in the headings. We would like seve

47 Jul 28, 2022

NeuralForecast is a Python library for time series forecasting with deep learning models

NeuralForecast is a Python library for time series forecasting with deep learning models. It includes benchmark datasets, data-loading utilities, evaluation functions, statistical tests, univariate m

1.1k Jan 03, 2023

This repository contains small projects related to Neural Networks and Deep Learning in general.

ILearnDeepLearning.py Description People say that nothing develops and teaches you like getting your hands dirty. This repository contains small proje

1.2k Dec 22, 2022

A study project using the AA-RMVSNet to reconstruct buildings from multiple images

3d-building-reconstruction This is part of a study project using the AA-RMVSNet to reconstruct buildings from multiple images. Introduction It is exci

17 Oct 17, 2022

A Lightweight Experiment & Resource Monitoring Tool 📺

Lightweight Experiment & Resource Monitoring 📺 "Did I already run this experiment before? How many resources are currently available on my cluster?"

170 Dec 28, 2022

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation (Accepted by BMVC'21) Abstract: Images acquir

10 Dec 08, 2022

A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

3k Jan 02, 2023

Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Parallel Tacotron2 Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

170 Dec 27, 2022

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

ML Privacy Meter Machine learning is playing a central role in automated decision making in a wide range of organization and service providers. The da

357 Jan 06, 2023

This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

Intro This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales Vehicle Sam

39 Jul 21, 2022

Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".

Tensor Component Analysis for Interpreting the Latent Space of GANs [ paper | project page ] Code to reproduce the results in the paper "Tensor Compon

4 Jun 17, 2022

BlueFog Tutorials

BlueFog Tutorials Welcome to the BlueFog tutorials! In this repository, we've put together a collection of awesome Jupyter notebooks. These notebooks

4 Oct 27, 2021

Learn other languages using artificial intelligence with python.

The main idea of the project is to facilitate the learning of other languages. We created a simple AI that will interact with you. Just ask questions that if she knows, she will answer.

2 Jun 07, 2022

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

Self-Supervised-MVS This repository is the official PyTorch implementation of our AAAI 2021 paper: "Self-supervised Multi-view Stereo via Effective Co

127 Jan 04, 2023

A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models

This repository contains a collection of resources and papers on Diffusion Models and Score-based Models. If there are any missing valuable resources

5.1k Jan 08, 2023

A deep learning framework for historical document image analysis

DIVA-DAF Description A deep learning framework for historical document image analysis. How to run Install dependencies # clone project git clone https

9 Aug 04, 2022

PyTorch implementation of Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution, IJCNN 2021.

GCResNet PyTorch implementation of Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution, IJCNN 2021. The code will

11 May 19, 2022

Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

Related tags

Overview

Anomaly Detection in Multi-Agent Trajectories for Automated Driving

Owner

Project to create an open-source 6 DoF input device

NeuralForecast is a Python library for time series forecasting with deep learning models

This repository contains small projects related to Neural Networks and Deep Learning in general.

A study project using the AA-RMVSNet to reconstruct buildings from multiple images

A Lightweight Experiment & Resource Monitoring Tool 📺

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".

BlueFog Tutorials

Learn other languages using artificial intelligence with python.

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models

A deep learning framework for historical document image analysis

PyTorch implementation of Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution, IJCNN 2021.

Label Hallucination for Few-Shot Classification

Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)

Code basis for the paper "Camera Condition Monitoring and Readjustment by means of Noise and Blur" (2021)

Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.

Related tags

Overview

Anomaly Detection in Multi-Agent Trajectories for Automated Driving

Owner

Project to create an open-source 6 DoF input device

NeuralForecast is a Python library for time series forecasting with deep learning models

This repository contains small projects related to Neural Networks and Deep Learning in general.

A study project using the AA-RMVSNet to reconstruct buildings from multiple images

A Lightweight Experiment & Resource Monitoring Tool 📺

ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Pytorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".

BlueFog Tutorials

Learn other languages ​​using artificial intelligence with python.

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models

A deep learning framework for historical document image analysis

PyTorch implementation of Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution, IJCNN 2021.

Label Hallucination for Few-Shot Classification

Implementation for "Manga Filling Style Conversion with Screentone Variational Autoencoder" (SIGGRAPH ASIA 2020 issue)

Code basis for the paper "Camera Condition Monitoring and Readjustment by means of Noise and Blur" (2021)

Learn other languages using artificial intelligence with python.