alok-abhishek

Arxiv_research_paper_summarizer

This repository contains a Python code for processing arXiv Research Papers (PDF files) and create a summarize report (PDF) of the research. This is to make the research paper easier to read and more accessible.

Bay_Area_Bike_Share_PGM_Prj

Analysis of Bay Area Bike share program data to build demand predictive model

data_Visualization_works

work for DSO 545 DATA Viz Class

develop_disruptive_innovation_strategy_from_customer_reviews

Sentiment Analysis of customer reviews for Airlines using RoBERTa and BART and then use LDA to identify themes. Use LLM to create an industry analysis report identifying opportunities for disruption and innovation. Based on data set (kaggle datasets download -d juhibhojani/airline-reviews) from Kaggle.

devops-essentials-sample-app

DSO545_Economic_Benefit_of_Art

Economic_Benefit_of_Art

ice_breaker

llama

Inference code for LLaMA models

Quantizing-LLMs-and-inferencing-Quantized-model-from-HF

This repo contains colab notebook utity to help qunatize large language model and store it on HuggingFace hub. The notebook also contain code to inference using the quantized model.

User_Review_Analysis_using_App_store_reviews

This repository houses a Python tool designed to analyze customer reviews from Apple Store and Google play store and develop user empathy and insights.

alok-abhishek/Arxiv_research_paper_summarizer

This repository contains a Python code for processing arXiv Research Papers (PDF files) and create a summarize report (PDF) of the research. This is to make the research paper easier to read and more accessible.

alok-abhishek/Quantizing-LLMs-and-inferencing-Quantized-model-from-HF

This repo contains colab notebook utity to help qunatize large language model and store it on HuggingFace hub. The notebook also contain code to inference using the quantized model.

alok-abhishek/develop_disruptive_innovation_strategy_from_customer_reviews

Sentiment Analysis of customer reviews for Airlines using RoBERTa and BART and then use LDA to identify themes. Use LLM to create an industry analysis report identifying opportunities for disruption and innovation. Based on data set (kaggle datasets download -d juhibhojani/airline-reviews) from Kaggle.

alok-abhishek/User_Review_Analysis_using_App_store_reviews

This repository houses a Python tool designed to analyze customer reviews from Apple Store and Google play store and develop user empathy and insights.

alok-abhishek/Bay_Area_Bike_Share_PGM_Prj

Analysis of Bay Area Bike share program data to build demand predictive model

alok-abhishek/data_Visualization_works

work for DSO 545 DATA Viz Class

alok-abhishek/devops-essentials-sample-app

alok-abhishek/DSO545_Economic_Benefit_of_Art

Economic_Benefit_of_Art

alok-abhishek/ice_breaker

alok-abhishek/llama

Inference code for LLaMA models

alok-abhishek/Machine_Learning

Statistical Machine Learning Codes in R and Python. Sample practice codes for learning machine learning methods.

alok-abhishek/MultiRegion-Serverless-Workshop

Build an Active/Active Multi-Region Serverless Application for Resilience and High Availability

alok-abhishek/terraform-beginner-to-advanced-resource

alok-abhishek/todo-php

alok-abhishek/YouTubeRed_Pricing_Strategy_Conjoint_Analysis

Analysis of online streaming services and its pricing using conjoint analysis

alok-abhishek/machine_learning_examples

A collection of machine learning examples and tutorials.