Prasad Paravatha (paravatha)

paravatha

Geek Repo

Location:United States

Home Page:https://paravatha.github.io/

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Prasad Paravatha's repositories

argo-setup

Setup Argo Workflows and Argo CD

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aws-eks-iac

Terraform to create VPC and EKS

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aws-sagemaker-terraform-poc

Terraform to provision VPC and Sagemaker

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azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

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cli-tools

List of CLI tools for Linux, Mac and k8s

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copilot-python-gen-code

Code generated by Copilot

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feast-samples

Jupyter notebooks using feast

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paravatha-argo-workflows-hera

Hera is an Argo Python SDK. Hera aims to make construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. ⭐️ Star the repo if you like it!

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aws-kubeflow-manifests

KubeFlow on AWS

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azure-eks-iac

Azure EKS using Terraform

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cilium-tetragon

eBPF-based Security Observability and Runtime Enforcement

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deployKF

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.

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feast

Feature Store for Machine Learning

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feast-azure

Azure plugins for Feast (FEAture STore)

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feast-examples

to tamper with

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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hera-samples

Samples to use argoproj-labs/hera

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k8s-llmops-iac

Setup LLMOps on EKS

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kserve-website

User documentation for KServe.

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kubeflow-manifests

A repository for Kustomize manifests

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kubeflow-on-eks

Terraform to provision Kubeflow on EKS

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kubeflow-website

Kubeflow's public website

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ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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sciops

GitOps cluster template for scientific data analysis

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