saranshqm Goto Github PK

a2oj-ladder

A2OJ Ladder checkbox

about-us-

automating-reviews-in-medicine

The medical literature is enormous. Pubmed, a database of medical publications maintained by the U.S. National Library of Medicine, has indexed over 23 million medical publications. Further, the rate of medical publication has increased over time, and now there are nearly 1 million new publications in the field each year, or more than one per minute. The large size and fast-changing nature of the medical literature has increased the need for reviews, which search databases like Pubmed for papers on a particular topic and then report results from the papers found. While such reviews are often performed manually, with multiple people reviewing each search result, this is tedious and time consuming. In this problem, we will see how text analytics can be used to automate the process of information retrieval.

ccqa

CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training

chatgpt-custom-knowledge-chatbot

This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.

coaching-website

Freelance Work - Website for a CBSE Coaching named SINGH TUTORIAL

cv_2020_spring

cyclegan-keras

keras implementation of cycle-gan

databuzz-shaastra-iit-madras-2020

deep-belief-networks

deepsynergy

detection-of-malariya-using-blood-smears

CNN implementation using tensorflow, keras to predict malariya using blood smears

detection-of-vandalism-in-wikipedia-page

This is a self made project to identify vandalism in wikipedia page

educational-website-reactjs

exercises_thushv_dot_com

Here lies all the exercises I implement and share in my website

facility-location-set-covering-mip-model

-Developed a supply chain network baseline MIP model for a glass manufacuterer with multiple products, manufacuting facilites, and production costs (Regular/Overtime) to find optimal product flow as per sourcing policies and capacity constraints. -To improve the service levels, developed a multi-objective MIP scenario model which finds the minmum number of warehouses to be built such that 80% of the demand is covered with in 500 miles of the nearest source. -Scenario model suggested to build 5 warehouses with their exact location and product flow information and was able to achieve reduction in transporatation cost by 19.75% with 80% demand served within 500 miles compared to 11% of demand within 500 miles in baseline model. -Coded in Python and performed optimization using Gurobi: pandas, dictionaries, loops, gurobi packages, csv package.

githubpage

iamsaransh199

idao-2020-data-drillers

collaborate all your codes here

intro

large-language-model-notebooks-course

learned_e-learning_website

This is an E-learning website.

linear-style-transfer

Implementation of Linear style transfer for sementics change

linearstyletransfer

This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

machine-learning-models-from-scratch

All ML models applied from scratch will be uploaded here

medium_notebook

Repository containing notebooks of my posts on Medium

mlfa-cai-iit-kgp-2020

modin

Modin: Scale your Pandas workflows by changing a single line of code

myprojects

nlp-transformers

Transformer (BERT, GPT2, etc.) based Training Module for popular NLP tasks