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Amit Arora's Projects

amazon-bedrock-samples icon amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

anly590 icon anly590

Repo for homework assignments for ANLY590

biomettracker icon biomettracker

Track weight, BMI and other metrics. Parse through the Ideal protein metrics, visualize and analyze.

dns2vec icon dns2vec

Exploring internet domain names with deep learning using vector embeddings

foundation-model-benchmarking-tool icon foundation-model-benchmarking-tool

Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

llama-recipes icon llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

qr-code-scanner icon qr-code-scanner

Lambda function for collecting data from a QR code and storing it in S3

rttmodelr icon rttmodelr

Bayesian modeling of ping response time in a telecommunication network.

sb_study icon sb_study

Starbucks Corporation is an American coffee company and coffeehouse chain with more than 24,000 stores across the world. This projects intends to explore the following data science problems: 1.Exploratory Data Analysis (EDA) about Starbucks store locations for example geographical distribution of stores by country, region, ownership model, brand name etc.

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