SaifurShatil

SaifurShatil's Stars

• skypilot-org/skypilot

  SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

  Language:Python6.7k711.8k494

• microsoft/service-fabric

  Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.

  Language:C++3k2401.3k399

• kunal-kushwaha/DevOps-Bootcamp

  This repository consists of the code samples, assignments, and notes for the DevOps bootcamp of WeMakeDevs.

  2.1k60221.2k

• 4ndersonLin/awesome-cloud-security

  🛡️ Awesome Cloud Security Resources ⚔️

  2.1k452315

• GoogleCloudPlatform/data-science-on-gcp

  Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

  Language:Jupyter Notebook1.3k92102714

• securefederatedai/openfl

  An open framework for Federated Learning.

  Language:Jupyter Notebook71622252197

• LatticeX-Foundation/Rosetta

  A Privacy-Preserving Framework Based on TensorFlow

  Language:C++5652982110

• stratosphereips/awesome-ml-privacy-attacks

  An awesome list of papers on privacy attacks against machine learning

  55723288

• opengeos/geospatial-data-catalogs

  A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

  Language:Jupyter Notebook52023039

• Metarget/awesome-cloud-native-security

  awesome resources about cloud native security 🐿

  30614252

• pgiri/dispy

  Distributed and Parallel Computing Framework with / for Python

  Language:Python2621418755

• techgaun/awesome-programming-presentations

  Presentations that programmers should watch

  25111345

• CharafeddineMechalikh/PureEdgeSim

  PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

  Language:Java18342374

• csong27/membership-inference

  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

  Language:Python18231363

• AI-secure/DBA

  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

  Language:Python17621446

• PrivPkt/PrivPkt

  Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

  Language:Python1184320

• LucaAngioloni/ProteinSecondaryStructure-CNN

  Protein Secondary Structure predictor using Convolutional Neural Networks

  Language:Python1096331

• Cloudslab/DLSF

  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

  Language:Java10451237

• utopiops/belfy

  Create a CRUD application from simple data definition yaml files and customise it using yaml.

  Language:TypeScript96433

• antonpaquin/Tensorflow-Lambda-Layer

  Lets you import Tensorflow + Keras from an AWS lambda

  Language:Shell8691511

• liuyugeng/ML-Doctor

  Code for ML Doctor

  Language:Python863523

• toddbadams/az300

  Study Notes for the AZ-300 exam

  Language:PowerShell7815085

• HDFGroup/hdf5-json

  Specification and tools for representing HDF5 in JSON

  Language:Python73115225

• yamanalab/PP-CNN

  Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference

  Language:C++462213

• ehsanasgari/DeepPrime2Sec

  Language:Python276412

• nuwuxian/rl_attack

  Language:Python26356

• khas-ccip/api_sequences_malware_datasets

  1910

• reza321/T-Miner

  Language:Python17526

• Priya-gg/ATTENDANCE-MONITORING-USING-AMAZON-WEB-SERVICES-A.W.S-

  Attendance has always been a conventional thing, right from the beginning at every sector. An Attendance monitoring system is an essential part to maintain a quick and accurate record of the user’s attendance and provides timely summaries and records when it’s needed. Using an Attendance monitoring system in our firm eliminates the need for manual attendance which is a long and cumbersome process. This system is faster and more accurate than a manual attendance system, avoids incorrect data entry, duplication and helps reduce mundane paperwork. An Attendance monitoring system always requires a physical server but for the first time we are going for virtual server. The proposed RFID based attendance system uses physical hardware for capturing the student data and sends it to the Amazon Web Service (A.W.S) a Cloud Computing platform thus sends the email attachment containing student data on a scheduled time (5 P.M) from Monday to Friday. The designed system has an access for Cloud Computing which makes the Attendance Management even more flexible.

  Language:C++11110

• programoworm/DeepNetEI

  This is our MSc project in St. Xaviers College, Kolkata. This project is about using Edge intelligence to detect major pandemic diseases.

  Language:HTML4100