Pinned Repositories
30DayChartChallenge
Charts made for the #30DayChartChallenge.
dns2vec
Exploring internet domain names with deep learning using vector embeddings
DS_For_HighSchoolers
presentations and code for data science for high schoolers
langchain
⚡ Building applications with LLMs through composability ⚡
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
machine-learning
Code & Data for Introduction to Machine Learning with Scikit-Learn
my-reading-list
Books I have read or want to read.
polars-demo
A gentle introduction to Polars
qr-code-scanner
Lambda function for collecting data from a QR code and storing it in S3
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.
aarora79's Repositories
aarora79/dns2vec
Exploring internet domain names with deep learning using vector embeddings
aarora79/30DayChartChallenge
Charts made for the #30DayChartChallenge.
aarora79/DS_For_HighSchoolers
presentations and code for data science for high schoolers
aarora79/langchain
⚡ Building applications with LLMs through composability ⚡
aarora79/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
aarora79/my-reading-list
Books I have read or want to read.
aarora79/polars-demo
A gentle introduction to Polars
aarora79/qr-code-scanner
Lambda function for collecting data from a QR code and storing it in S3
aarora79/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
aarora79/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
aarora79/ANLY590
Repo for homework assignments for ANLY590
aarora79/biomettracker
Track weight, BMI and other metrics. Parse through the Ideal protein metrics, visualize and analyze.
aarora79/blueberries-in-my-salad-book
aarora79/clean-eating
Data analysis for the 30day clean eating challenge
aarora79/covid-analytics
Analyzing open source Covid data for fun
aarora79/datavis
datavis
aarora79/DS_For_HighSchoolers-Summer-2018-
aarora79/compile-llm-for-aws-silicon
Sample code on how to compile an FM for AWS silicon
aarora79/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.
aarora79/gcp-course-for-high-schoolers
More like notes to self for a short 5 class course i would be teaching to the neighborhood kids
aarora79/hugotest
aarora79/multimodal
Multimodal datasets for testing
aarora79/nlp-for-high-schoolers
NLP classes for high school students
aarora79/notebooks-ci-showcase
Fully Configured Example of CI/CD For Notebooks On Top Of GCP
aarora79/personal_website
My personal website.
aarora79/rttmodelR
Bayesian modeling of ping response time in a telecommunication network.
aarora79/sagemaker-studio-emr
aarora79/shinydemo
Presentation and Demo for introduction to Shiny
aarora79/whatsapp-analytics
Data analytics for a WhatsApp group chat history
aarora79/workouttracker
Shiny application to track workouts and store data in Google Sheets