meghalD
Current: Doctoral Researcher@Eberhard Karl University of Tübingen Earlier: TCS R&I Labs | Image Analysis and Biometric
Germany
Pinned Repositories
about_me
Find all my professional details here. Please contact for collaborations at meghal.dani.er@gmail.com
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
AI_in_Healthcare
Includes all materials and codes related to the topic.
Algorithms-for-Computational-Biology
android-samples
Samples demonstrating how to use Google Maps Android API v2.
autism_wacv.github.io
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
fMRI_analysis
RadImageNet
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
Prediction_Antifungal_Peptide
Classification of Antifungal and non antifungal peptides
meghalD's Repositories
meghalD/about_me
Find all my professional details here. Please contact for collaborations at meghal.dani.er@gmail.com
meghalD/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
meghalD/AI_in_Healthcare
Includes all materials and codes related to the topic.
meghalD/Algorithms-for-Computational-Biology
meghalD/autism_wacv.github.io
meghalD/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
meghalD/fMRI_analysis
meghalD/RadImageNet
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
meghalD/BasicTAD
BasicTAD: an Astounding RGB-Only Baselinefor Temporal Action Detection
meghalD/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
meghalD/caltech_birds
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
meghalD/D2_dataloader
meghalD/Deep-Lesion
A deep learning framework for detecting lesions in CT scans from Deep Lesion dataset
meghalD/detectron2_custom_loss_May2021
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
meghalD/Domain-Adaptive-Faster-RCNN-PyTorch
Domain Adaptive Faster R-CNN in PyTorch
meghalD/E2E-TAD
[CVPR 2022] An Empirical Study of End-to-end Temporal Action Detection
meghalD/EveryPixelMatters
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
meghalD/FMS
Facebook based FMS complaint and redressal system
meghalD/GeoAR_demo
AR Map
meghalD/homepage
meghalD/Machine-Learning-for-Biomedical-Applications
meghalD/meghalD
Config files for my GitHub profile.
meghalD/MICCAI-LITS2017
liver segmentation using deep learning
meghalD/mm_action_rec
Video Activity Recognition
meghalD/neuroai-tuebingen
meghalD/NeuroLab-unitue
meghalD/O-CNN
This repository contains the code of our O-CNN paper.
meghalD/PlotNeuralNet
Latex code for making neural networks diagrams
meghalD/Statistical-Computation
meghalD/Visualization_COVID_19
This repository aims at using visualizations in python to understand the growth of COVID-19 in countires all over the world