Ashok Ajad's repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AI-Deep-Learning-Lab-2021
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
awesome-radiology-report-generation
A curated list of radiology report generation (medical report generation) and related areas. :-)
Brats21_KAIST_MRI_Lab
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
chexpertplusplus
Source implementation and pointer to pre-trained models for Chexpert++, a BERT-based approximation to CheXpert for radiology report labeling.
clinicalBERT
repository for Publicly Available Clinical BERT Embeddings
Data-Preparation
There are lot of things that need to be done on the given dataset before we feed it to the machine, these things come under data preprocessing. In this repository I have tried to explain those things with some examples.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DPGN
This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.
fairseq-image-captioning
Transformer-based image captioning extension for pytorch/fairseq
GPT2-Chest-X-Ray-Report-Generation
This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
ifcc
The code of Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation
kubeflow
Machine Learning Toolkit for Kubernetes
Leetcode
🎓Leetcode solutions in Python 📚
leetcode-patterns
A curated list of leetcode questions grouped by their common patterns
LeetCode-Solutions
🏋️ (Weekly Update) Python / Modern C++ Solutions of All 1955 LeetCode Problems
machine-learning-systems-design
A booklet on machine learning systems design with exercises
MONAI
AI Toolkit for Healthcare Imaging
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
SegLoss
A collection of loss functions for medical image segmentation
torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
varadbhogayata.github.io
My Portfolio - Personal Website
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
X-Ray-Report-Generation
This is the implementation of the 'VSGRU' model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'.