Alok Abhishek's repositories
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.
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.
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.
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
DSO545_Economic_Benefit_of_Art
Economic_Benefit_of_Art
llama
Inference code for LLaMA models
Machine_Learning
Statistical Machine Learning Codes in R and Python. Sample practice codes for learning machine learning methods.
MultiRegion-Serverless-Workshop
Build an Active/Active Multi-Region Serverless Application for Resilience and High Availability
YouTubeRed_Pricing_Strategy_Conjoint_Analysis
Analysis of online streaming services and its pricing using conjoint analysis
machine_learning_examples
A collection of machine learning examples and tutorials.