Pinned Repositories
kor
LLM(đ˝)
Daily-news-about-any-company
this python script can get news about any company listed in NSE or BSE for last 3 years
india_coved19
demo
KNN-on-amazon-food-review-
Practice-for-data-science
difference case study as part my practice for data science
predictive-maintenance
predictive-maintenance-streamlit-blog
my first streamlit blog
VinBigData-Chest-X-ray-Abnormalities-Detection
In this competition, youâll automatically localize and classify 14 types of thoracic abnormalities from chest radiographs. You'll work with a dataset consisting of 18,000 scans that have been annotated by experienced radiologists. You can train your model with 15,000 independently-labeled images and will be evaluated on a test set of 3,000 images. These annotations were collected via VinBigData's web-based platform, VinLab. Details on building the dataset can be found in our recent paper âVinDr-CXR: An open dataset of chest X-rays with radiologist's annotationsâ. If successful, you'll help build what could be a valuable second opinion for radiologists. An automated system that could accurately identify and localize findings on chest radiographs would relieve the stress of busy doctors while also providing patients with a more accurate diagnosis.
gan-plus-nlp
Generative adversarial approach to most popular NLP tasks
shankara-93's Repositories
shankara-93/VinBigData-Chest-X-ray-Abnormalities-Detection
In this competition, youâll automatically localize and classify 14 types of thoracic abnormalities from chest radiographs. You'll work with a dataset consisting of 18,000 scans that have been annotated by experienced radiologists. You can train your model with 15,000 independently-labeled images and will be evaluated on a test set of 3,000 images. These annotations were collected via VinBigData's web-based platform, VinLab. Details on building the dataset can be found in our recent paper âVinDr-CXR: An open dataset of chest X-rays with radiologist's annotationsâ. If successful, you'll help build what could be a valuable second opinion for radiologists. An automated system that could accurately identify and localize findings on chest radiographs would relieve the stress of busy doctors while also providing patients with a more accurate diagnosis.
shankara-93/Daily-news-about-any-company
this python script can get news about any company listed in NSE or BSE for last 3 years
shankara-93/india_coved19
demo
shankara-93/KNN-on-amazon-food-review-
shankara-93/Practice-for-data-science
difference case study as part my practice for data science
shankara-93/predictive-maintenance
shankara-93/predictive-maintenance-streamlit-blog
my first streamlit blog