An application to interact with your FHIR API's using natural language query

Deloitte AI Academy Intensive and Apprenticeship course materials for 07/24/23 cohort

Managing Data and Model Drift with Azure Machine Learning

Anomaly detection in epidemiological malaria data. We detect unusual events in the reported case data especially flareup and drifts in case numbers.

This little project has 2 machine learning models and a GUI. The first model is drained on a specific set of data and is capable of predicting/assessing if you are eligible for a loan or not, the s…

Monte Carlo simulation of stock price forecasting using Geometric Brownian Motion with drift coefficients and volatility computed from historical data of the stock's price

Example unit tests for data science code

Best Practices on Recommendation Systems

Demonstration of using Files in Repos with Databricks Delta Live Tables

DLT Tables Utilisation

Databricks Implementation of the TPC-DI Specification using Traditional Notebooks and/or Delta Live Tables

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, P…

basic walk-throughs for alignment and variant calling from NGS sequencing data

This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which we need in our real life experience as a data engineer. We …

Unsupervised neural network for single cell Multi-omics INTegration

COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.

MetNormalizer is used to normalize large scale metabolomics data.

R statistical toolbox for metabolomics

Galaxy tools for metabolomics maintained by Workflow4Metabolomics

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Course material for TSRI network biology lecture

Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks

netZooPy is a network biology package implemented in Python.

netZooR is a network biology package implemented in R.

Python package for graph neural networks in chemistry and biology

Multi-omics differential expression and integration using PPI networks

Reference mapping for single-cell genomics

Repository for Multi Omics data Integration for Transcriptomics and Metabolomics in RA mouse models