- 🎓 Currently pursuing my master in Medical Engineering
- 💻 Looking for part-time opportunities
- 🍀 I’m currently trying to explore the multidisplinary nature of Bioengineering and learn as much as I can 😄
- 🥅 2023 Goals: Get into the domain of 3D programming and XR development. 📷
- ⚡ Looking to collaborate with others in creating something exhilarating
- 🚆 I love to travel. 🗻 Mountains are always my first choice.
- 💪 Fitness freak: Trained martial artist and swimmer
- Currently working on: autoBayesian
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FAU Erlangen-Nürnberg
- Erlangen, Germany
- in/arkanivasarkar
- @ArkanivaSarkar
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Retinal-Vessel-Segmentation-using-variants-of-UNET
Retinal-Vessel-Segmentation-using-variants-of-UNET PublicRetinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
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ECG-Anomaly-Detection-Using-Deep-Learning
ECG-Anomaly-Detection-Using-Deep-Learning PublicEnsemble RNN based neural network for ECG anomaly detection
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EEG-Data-Augmentation-using-Variational-Autoencoder
EEG-Data-Augmentation-using-Variational-Autoencoder PublicImproving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
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Bacterial-Cell-Classification
Bacterial-Cell-Classification PublicBacterial cell classification into gram positive and gram negative using CNN
Python 1
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RNAseq-Data-Analysis-Pipeline
RNAseq-Data-Analysis-Pipeline PublicPipeline for analyzing RNAseq data of human and mouse - beginner friendly with minimal user inputs
R 1
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Deep-Learning-from-Scratch
Deep-Learning-from-Scratch PublicImplementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.
Python
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