9ainesh

9ainesh's Stars

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook20.8k11.5k

• brunorijsman/openssl-qkd

  Code written during and in preparation for the First Pan-European Quantum Hackathon November 5-6 2019, organized by RIPE

  Language:C2211

• AyushGupta51379/COMP_5331_Project_Fake_News_Detection

  - Image classification using Deep learning. - Utilizing both frequency and pixel domain information of images. - Implemented MVNN model from a research paper published in 2019 IEEE ICDM. Achieved comparable accuracy to the original model. - Compared with several deep learning models: Pre-trained (VGG-16, VGG-19) and our own implementations of CNN based models (with different number of layers) - Research project utilized as a part of a course: COMP 5331 - Knowledge Discovery in Databases, from HKUST (The Hong Kong University of Science and Technology). - Referenced paper (for MVNN model) - P. Qi, J. Cao, T. Yang, J. Guo, and J. Li. Exploiting multi-domain visual information for fake news detection. In 2019 IEEE International Conference on Data Mining (ICDM), pages 518–527, 2019.

  Language:Jupyter Notebook154

• Aryamanraj/timeSpecificEncryption

  This system implements the concept of Time-Specific Encryption (TSE) based on the research paper by Kenneth G. Paterson and Elizabeth A. Quaglia, published in Springer.

  Language:Python2

• aryashah2k/ML-PlantDiseaseDetection-PaperImplementation

  Implementation Of The Methods Used In The Paper Titled- "Plant Disease Detection Using Machine Learning". Done As Part Of the Application Screening Activity For University's Computer Engineering Department Research Group

  Language:Jupyter Notebook14

• maddataanalyst/deep-hybrid-recommenders

  This project is a part of the research on the improvement of e-commerce recommendation systems with deep hybrid collaborative filtering with content: A case study by Wójcik, F., & Górnik, M. It contains a working implementation of the models discussed in the paper and reproducible experiment pipelines.

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• Shubham-SK/dermatologist

  Pytorch implementation of the "Dermatologist-level classification of skin cancer with deep neural networks" research paper. Smaller dataset supplied by Udacity.

  Language:Python153

• thejarlid/VideoStabilizationPy

  An implementation of Google's Auto Directed Video Stabilization with Robust L1 Optimal Camera Paths Research Paper done as a self study to better understand the mechanisms and methods presented in the paper

  Language:Python245

• radhika23gupta/Implementation-of-Research-Paper-

  Language:Jupyter Notebook1

• shivamshivanshu/Self-Optimal-Clustering

  Research Paper and Implementation of Clustering Algorithms

  Language:Jupyter Notebook1

• uditi-12/ML_project

  Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS dataset

  Language:Jupyter Notebook51

• ekozyreff/fischetti_jo_2018

  Implementation of ideas described on a research paper

  Language:Python1

• mahyaqorbani/Accident-Impact-Prediction-using-Deep-Convolutional-and-Recurrent-Neural-Networks

  This repository contains the code implementation related to the research paper titled "Accident Impact Prediction based on a Deep Convolutional and Recurrent Neural Network Model." I share my bachelor project's code here!

  Language:Jupyter Notebook1

• gurmatsinghsour/Data-Encryption-Algorithms-

  Explore a comprehensive collection of Python implementations for a diverse range of data encryption algorithms. These meticulously designed cryptographic techniques are a crucial component of our research paper. By sharing these implementations, we aspire to foster education and research within the domain of data security and cryptography. Delve in

  Language:Python1

• coderbeta1/Image_Deepfake_Detection

  Implementation and improvement of a research paper with a new theory for image deepfake detection with high generalization to include General Adversarial Networks, Diffusion Models and any other new generative techniques

  Language:Jupyter Notebook3