We implement RCNN algorithm for object detection from an Images.
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Updated
Jul 6, 2020 - Jupyter Notebook
We implement RCNN algorithm for object detection from an Images.
Unofficial JAX implementations of deep learning research papers
Minimum Hitting Set solver described in my master thesis and a subsequent research paper
This repository is accompanying the papers "Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications" (SPAWC 2021), "RIS-Assisted Statistical Channel Shaping for Ultra-High Reliability" (WSA 2021), and "Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications" (TWC, DOI:10.1109/TWC.2022.…
Research paper Implementation: Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
Pytorch Implementation of Capsule Networks
A collection of research paper implementations in PyTorch
A secure elliptic curve cryptography based mutual authentication protocol for cloud-assisted TMIS
This repository contains the implementation of the Self Meta Pseudo Labels (SMPL) method for semi-supervised learning
Using NeRF we can convert 2d images into 3d.
We proposed an approach that use the keywords of research paper as feature and generate a Restricted Boltzmann Machine (RBM).
This repository belongs to the paper "Reliability and Latency Analysis for Wireless Communication Systems with a Secret-Key Budget" (K.-L. Besser, R. F. Schaefer, H. V. Poor, IEEE Transactions on Communications, vol. 72, no. 2, pp. 1033-1044, Feb. 2024).
This code is the implementation of the research paper: New insights on integer programming models for the kidney exchange problem. Miguel Constantino, Xenia Klimentova, Ana Viana, and Abdur Rais (Constantino et al). European Journal of Operational Research, 231(1):57–68, 2013. Integer programs in the paper are solved using glpk solver in python.
R codes for the ANMU research paper.
Implementation and research paper of MobileNet
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…
Deep Learning paper implementations code that I work on while I wait for my Coffee while its brewing 😔
Implementation of semi and self supervised learning on Imbalanced Dataset
Best B.tech Final Year Project "Design and Analysis of Cryptographic Technique for Communication System"
Apply Style of one image onto another image using VGG19 Deep Neural Network in PyTorch
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