Surya Prakash Pathak's repositories
openshift-workload-fingerprinting
Analyze and fingerprint workloads running on OpenShift to gain insights into customer usage patterns,and to drive business decisions.
aicoe-osc-demo
Explore OS-Climate demo concepts from Red Hat AICoE
htm-applications
htm-applications
operate-first-data-science-community
GitHub home of operate first data science community content
cli-examples
Examples of Thoth's recommendations using Thamos CLI
copilot-ops
`copilot-ops` is a CLI tool that boosts up any "devops repo" to a ninja level of Artificially Intelligent Ops Repo
customer-growth-model
The repo enables accurate customer revenue forecasting using ARIMA and other time series methods. It provides practical examples, data preprocessing, evaluation, and optimization. It also identifies potential customers through market analysis and predictive modeling. Empowering businesses for data-driven growth.
datascience-wg
This repository will be used to track all the work that comes out of the Data Science Working Group
foundation-models-for-documentation
Improve ROSA customer experience (and customer retention) by leveraging foundation models to do “gpt-chat” style search of Red Hat customer documentation assets.
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
homomorphic-learning
Methodology study for multi-party learning (aka Homomorphic Learning)
instructlab
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
locallm
Examples for building and running LLM services and applications locally with Podman
metrics
Metrics project repository.
of-support-bot
AI chatbot for supporting operator-framework engineers, support their customers better
openshift-workload-fingerprinting_old
Analyze and fingerprint workloads running on OpenShift to gain insights into customer usage patterns,and to drive business decisions.
operate-first-jupyterhub-analysis
Operate first Jupyterhub application provides a Jupyter notebook environment for python development and running machine learning workloads. In this repository, we analyze the data generated from the application hosted on the Operate First cluster on Openshift.