sarthak-chakraborty
PhD at University of Illinois Urbana-Champaign || IIT Kharagpur '21 [B.Tech+M.Tech Dual Degree in Computer Science]
Univeristy of Illinois Urbana-ChampaignKolkata, West Bengal, India
Pinned Repositories
Advanced-Database-Coursework
Class assignments for the course Advanced Database Systems (CS60113) [IIT Kgp]
Advanced-OS-Coursework
Class Assignments for Advanced in Operating System Course (CS60038) [IIT Kgp]
CausIL
CausIL is an approach to estimate the causal graph for a cloud microservice system, where the nodes are the service-specific metrics while edges indicate causal dependency among the metrics. The approach considers metric variations for all the instances deployed in the system to build the causal graph and can account for auto-scaling decisions.
Distributed_Systems
[CS 425][UIUC] Course Assignments for Distributed Systems Class in UIUC. Implemented a miniature version of Hadoop capable of running Map-Reduce tasks
ESRO
This is the official repository for the code used in the paper ESRO: Experience Assisted Service Reliability against Outages (ASE 2023).
FL-CrossChain
It is the official repository for the paper Proof of Federated Training: Accountable Cross-Network Model Training and Inference, published at IEEE ICBC 2022
Image-Segmentation-UNET-DeepLab
Image Segmentation on 3 popular datasets using Unet and DeepLab model
PARIMA
PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately
PedalPals_Android
Android based Bicycle Rental Portal developed as a mini-project for DBMS (CS43002) course, IITKGP
sarthak-chakraborty.github.io
Personal Website of Sarthak Chakraborty
sarthak-chakraborty's Repositories
sarthak-chakraborty/PARIMA
PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately
sarthak-chakraborty/CausIL
CausIL is an approach to estimate the causal graph for a cloud microservice system, where the nodes are the service-specific metrics while edges indicate causal dependency among the metrics. The approach considers metric variations for all the instances deployed in the system to build the causal graph and can account for auto-scaling decisions.
sarthak-chakraborty/Image-Segmentation-UNET-DeepLab
Image Segmentation on 3 popular datasets using Unet and DeepLab model
sarthak-chakraborty/Advanced-OS-Coursework
Class Assignments for Advanced in Operating System Course (CS60038) [IIT Kgp]
sarthak-chakraborty/FL-CrossChain
It is the official repository for the paper Proof of Federated Training: Accountable Cross-Network Model Training and Inference, published at IEEE ICBC 2022
sarthak-chakraborty/PedalPals_Android
Android based Bicycle Rental Portal developed as a mini-project for DBMS (CS43002) course, IITKGP
sarthak-chakraborty/Advanced-Database-Coursework
Class assignments for the course Advanced Database Systems (CS60113) [IIT Kgp]
sarthak-chakraborty/Distributed_Systems
[CS 425][UIUC] Course Assignments for Distributed Systems Class in UIUC. Implemented a miniature version of Hadoop capable of running Map-Reduce tasks
sarthak-chakraborty/ESRO
This is the official repository for the code used in the paper ESRO: Experience Assisted Service Reliability against Outages (ASE 2023).
sarthak-chakraborty/sarthak-chakraborty.github.io
Personal Website of Sarthak Chakraborty
sarthak-chakraborty/Distributed-Collaborative-Editor
Distributed Collaborative Editor including Passive Replication and Fault Tolerance implemented as a term project for the course Distributed Systems (CS60002) [IIT Kgp]
sarthak-chakraborty/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
sarthak-chakraborty/acto
Push-Button End-to-End Testing of Kubernetes Operators and Controllers
sarthak-chakraborty/awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
sarthak-chakraborty/CIFAR100_ImageRecognition
CIFAR-100 Image Recognition Using Convolutional Neural Network
sarthak-chakraborty/examples
TensorFlow examples
sarthak-chakraborty/FedBN
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
sarthak-chakraborty/HCNE-ScalableDataMining
Term Research Project for the course Scalable Data Mining [IIT Kgp] (CS60021)
sarthak-chakraborty/kube-523
sarthak-chakraborty/LouvainNE
sarthak-chakraborty/martini
Classy web framework for Go
sarthak-chakraborty/MinSSL
Minimally Supervised Semi-Supervised Learning
sarthak-chakraborty/Multimodal-Emo-Detection
Multi-modal Emotion Recognition in Conversations using MELD dataset
sarthak-chakraborty/PedalPals_Web
Web based Bicycle Rental Portal developed as a mini-project for DBMS (CS43002) Course, IITKGP
sarthak-chakraborty/pyschedcl-concurrent
A Scheduling Framework that leverages concurrency in data parallel systems
sarthak-chakraborty/PySyft
A library for answering questions using data you cannot see
sarthak-chakraborty/sarthak-chakraborty
sarthak-chakraborty/SocComp-Assgn
Assignments for the Course Social Computing (CS60017) [IITKGP]
sarthak-chakraborty/tensorflow
An Open Source Machine Learning Framework for Everyone
sarthak-chakraborty/TF-Lite
Tensorflow to TFLite Conversion for Model Personalization