suhana13

Suhana Bedi's starred repositories

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

Language:Jupyter NotebookApache-2.0227400

ETL-German-FHIR-Core

ETL process from FHIR (defined by the German Medical Informatics Initiative) to OMOP

Language:Java700

healthcare-data-harmonization

This is an engine that converts data of one structure to another, based on a configuration file which describes how. There is an accompanying syntax to make writing mappings easier and more robust.

Language:JavaApache-2.020100

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Language:PythonMPL-2.0799000

xTuring

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Language:PythonApache-2.0257500

react-graph-gallery

A set of graph examples showing how to make react and d3.js work together

Language:TypeScriptISC28600

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

Language:ShellISC10831600

Warehouse-Retailer-Seller-Gurobi-Network-flow

Network optimization problem solved using Gurobi Python

Language:Python300

atcd

Scrape Anatomical-Therapeutic-Chemical (ATC) classes from its official website run by the WHO Collaborating Centre for Drug Statistics Methodology

Language:R4900

vscode-language-nextflow

Nextflow language support for Visual Studio Editor

MIT2500

sdk-codegen

One SDK to rule them all, and in the codegen bind them

Language:TypeScriptMIT22800

cs4372

Language:Jupyter Notebook900

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

MIT626100

CKG

Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph

Language:Jupyter NotebookMIT42300