Pinned Repositories
keras
Deep Learning for humans
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
adnymicslogparser
Athena
Query data from data lake in natural language: LLMs + Chain of thought modelling
BlueCompiler
This is a barebones compiler written with the project IFC Allignment in mind.
currency-converter-api
Exported from Google code project
feathr-mlopsv2-sample
Sample feathr feature store testing resources
java-exchange-rates
JAVA Library for currency conversion
vagrant-puppet-examples
Vagrant, Puppet and Librarian Examples
business-rules
Python DSL for setting up business intelligence rules that can be configured without code
Ritaja's Repositories
Ritaja/java-exchange-rates
JAVA Library for currency conversion
Ritaja/Athena
Query data from data lake in natural language: LLMs + Chain of thought modelling
Ritaja/currency-converter-api
Exported from Google code project
Ritaja/BlueCompiler
This is a barebones compiler written with the project IFC Allignment in mind.
Ritaja/adnymicslogparser
Ritaja/feathr-mlopsv2-sample
Sample feathr feature store testing resources
Ritaja/vagrant-puppet-examples
Vagrant, Puppet and Librarian Examples
Ritaja/algorithms
A collection of algorithm examples in Scala and Java
Ritaja/Athena2.0
A sample app for the Retrieval-Augmented Generation pattern running in Azure on both structured and semi structured sources
Ritaja/basic_nre
basic NRE
Ritaja/fake2db
create custom test databases that are populated with fake data
Ritaja/faker
Faker is a Python package that generates fake data for you.
Ritaja/Forecasting-AutoML
Azure ML quick notebook to showcase automl for forecasting
Ritaja/GPT-Azure-Search-Engine
Azure Cognitive Search + Azure OpenAI Accelerator
Ritaja/Machine-Learning-Patient-Risk-Analyzer-SA
Machine Learning Patient Risk Analyzer Solution Accelerator is an end-to-end (E2E) healthcare app that leverages ML prediction models (e.g., Diabetes Mellitus (DM) patient 30-day re-admission, breast cancer risk, etc.) to demonstrate how these models can provide key insights for both physicians and patients. Patients can easily access their appointment and care history with infused cognitive services through a conversational interface. In addition to providing new insights for both doctors and patients, the app also provides the Data Scientist/IT Specialist with one-click experiences for registering and deploying a new or existing model to Azure Kubernetes Clusters, and best practices for maintaining these models through Azure MLOps.
Ritaja/memory_profiler
Monitor Memory usage of Python code
Ritaja/mlops-project-template
Ritaja/mlops-templates
Ritaja/mlops-v2
Azure MLOps (v2) solution accelerators.
Ritaja/mlops-v2-examples
Azure ML V2 Examples
Ritaja/mlops-v2-training
Ritaja/Multi-Modal-Similarity
Multi-modal similarity (Learning-based solution) - Learn what is similar from + and – examples.
Ritaja/PADRES_TU_MUNICH
Ritaja/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Ritaja/Practice
Repo for practice code
Ritaja/python-patterns
A collection of design patterns/idioms in Python
Ritaja/ritaja.github.io
Short CV
Ritaja/samba
Samba docker container
Ritaja/Test-Drive-Azure-Synapse-with-a-1-click-POC
Ritaja/TestSelenium
Selenium testing using JUnit