Name: Anil B. Gavade
Type: User
Company: KLS GIT, Belgaum
Bio: Anil B. Gavade is a Associate Professor at the K L S Gogte Institute of Technology, Belagavi, Karnataka, India, in Dept., of E&C
Twitter: abgavade
Location: India
Anil B. Gavade's Projects
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award
Staining unmixing and normalization for histopathology images.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Homework Submission, Automated Grading, and TA grading system.
Image Classification with `sklearn.svm`
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Implementation of the Swin Transformer in PyTorch.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain
A template repository for quickly setting up papers to be submitted to Elsevier Journals
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PyTorch Implementation of "Attention Is All You Need"
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A paper list of some recent Transformer-based CV works.
Recent Transformer-based CV and related works.
Transformers for Natural Language Processing, published by Packt
Nuclei segmentation and classification (Cancer cells)
10th place solution to the ImageCLEF Tuberculosis 2019 - Severity Scoring.
This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.
MONAI Tutorials
U-net model in Matlab to segment unmyelinated fibers on histological TEM images.
unet for image segmentation
CSCI E-89 Deep Learning - Final Project - Image Segmentation
UNet Training for MRI Image Segmentation
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Datasets, Transforms and Models specific to Computer Vision
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer