Sandeep Kumar Singh (sansastra)

sansastra

Geek Repo

Company:Indian Institute of Technology, Roorkee

Location:Roorkee, India

Home Page:https://sandeepksingh.com

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Sandeep Kumar Singh's repositories

Trajectory-Prediction

A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.

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Anomaly-Detection

Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.

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uncertainty_edl_graph

Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering

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WDM-PON

A Java-based simulator for wavelength division multiplexed or orthogonal frequency division multiplexed passive optical networks.

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Animal-Human-Cohabitation

Building an early warning system which detects wild animals near the road/rail with the help of wireless sensor networks and alerts passing vehicles of possible animal crossing.

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Markov-Modeling-EON-DF

Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.

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Markov-Modeling-EON

Model the resource allocation in eleastic optical networks using continuous time Markov chain.

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dc-reconfig

Topology and bandwidth reconfiguration simulation for datacenter and HPC networks using a Netbench simulator

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dc_traffic_gen

Data center time varying traffic generator from real traces

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Defrag-HTA

A JAVA-based simulator for evaluating defragmentation in elastic optical network with holding time awareness of traffic flows

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Defrag-HTA-Aux

A Java-based Simulator for Evaluating any Spectrum Allocation Policy and defragmentation in Elastic Optical Networks

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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netbench

Packet simulator for data center network topologies, routing, and congestion control

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ngncs_hpc

hpc ngnc

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pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

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