nsrinidhibhat/Advanced-Regression

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Created over 3 years ago
Updated about 3 years ago

nsrinidhibhat/Advanced-Regression

nsrinidhibhat

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gradio_RAG

Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.

fine-tune-llama-2

This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.

BikeSharing

This is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.

Jupyter Notebook

Computer-Vision-Projects

Jupyter Notebook

PGDDS

Projects from my PG Diploma in Data Science at Indian Institute of Information Technology - Bangalore

Jupyter Notebook

kaggle_datasets

External-Internship-Program

Colaboratory Python Notebooks for Deep learning projects & Convolution Neural Networks, ordered by Sessions

Jupyter Notebook

nsrinidhibhat

LassoandRidge

Jupyter Notebook

MSOIS

Projects from my Masters of Engineering at Manipal School of Information Sciences.

rectangle_bbox

This is a mini openCV window (app) which can draw bounding boxes on an image of your choosing.

sentiment_analysis_amazon

class_activation_maps

A Class Activation Map is a weighted activation map generated for each image, helping us to identify the region a CNN is looking at while classifying an image.

Jupyter Notebook