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
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
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
This library is designed to speed up huge model training on unified memory.
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
Various TeX templates, including slides and posters.
Some textbooks and reference books I used in my engineering course in Computer Science
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
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: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Transformers for Natural Language Processing, published by Packt
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
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
Implementation of Variational Auto-Encoder with TensorFlow 2.0