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Sudhir's Projects

machine-learning-for-telecommunications icon machine-learning-for-telecommunications

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models

mlrun icon mlrun

Machine Learning automation and tracking

nuclio icon nuclio

High-Performance Serverless event and data processing platform

onnx icon onnx

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

pyazopenai icon pyazopenai

Build a skill for OpenAI's ChatGPT using Python and Azure to create a plugin. Use this template if you want to allow the public version of ChatGPT to complete a specific task via your API.

saaidvkit icon saaidvkit

AWS Toolkit for Visual Studio - a plugin to interact with AWS

samlkudu-obio icon samlkudu-obio

Our system creates unique identities for each building, allowing efficient tracking, management, and analysis. We use advanced algorithms to map physical structures to digital representations

ti12-noxville icon ti12-noxville

Frontend (public) for visualizing generated probabilities related to DPC/TI 2023 Season.

umgakla icon umgakla

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

vite icon vite

Next generation frontend tooling. It's fast!

vizro icon vizro

Vizro is a toolkit for creating modular data visualization applications.

wet-boew icon wet-boew

Web Experience Toolkit (WET): Open source code library for building innovative websites that are accessible, usable, interoperable, mobile-friendly and multilingual. This collaborative open source project is led by the Government of Canada.

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