nikhilkurian's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
A curated list of resources for Learning with Noisy Labels
Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'
Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images
Repository containing code, papers, and report for CS496 (BTP-2).
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Deep Learning Examples
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
Diagrams for visualizing neural network architecture (Created with diagrams.net)
Config files for my GitHub profile.
Repository for the website
Python Whole Slide Image Preprocessing
PyTorch implementation of consistency regularization methods for semi-supervised learning
Segmentation models with pretrained backbones. PyTorch.
Pretrained model for self supervised histopathology
Repository:
MONAI Tutorials
Auto configurations for Language Server for vim-lsp