Pinned Repositories
crop_disease_classification
Image classification is the process of assigning a label or class to an image based on its visual content. Fine-tuning a Vision Transformer (ViT) on the Crop_Disease dataset involves adapting a pre-trained ViT model specifically for the task of identifying crop diseases in images. This process includes training the model on the Crop_Disease dataset
Document-ChatBot
A Document ChatBot based on Conversational RAG(Retrieval-augmented generation) that retrieves and summarizes information from uploaded documents
Documents-Summary-App
A simple web application that summarizes documents from a given URL using advanced language processing techniques
Fine-tune_llama2
fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA.
LLM-Function-Calling
LLM function calling allows large language models (LLMs) to execute specific tasks by invoking external functions (APIs or plugins) based on user inputs, enhancing their capabilities beyond text generation.
LLM-powered-chatbot
implement an LLM-powered chatbot. This chatbot will be able to have a conversation and remember previous interactions.
PDF-ingestion-QnA-App
This Application based on RAG(Retrieval-augmented generation) that allows users to upload PDF documents and ask questions based on the content of those documents.
Simple-LLM-Application
This is a simple Language Model (LLM) application that integrates Fastapi and LangChain.
Spam-Detector
Spam detection identifies and filters out unwanted messages, protecting users from scams and clutter. This model, a fine-tuned version of Google’s BERT (bert-base-uncased), achieves high accuracy (99.67%) and low loss (0.0202) on a spam detection dataset, effectively classifying messages as "spam" or "not spam."
virtual-try-on-glasses
Virtual mirrors allow you to try on eyeglasses online before you buy them select glass and virtual try on using live video
vishnun0027's Repositories
vishnun0027/crop_disease_classification
Image classification is the process of assigning a label or class to an image based on its visual content. Fine-tuning a Vision Transformer (ViT) on the Crop_Disease dataset involves adapting a pre-trained ViT model specifically for the task of identifying crop diseases in images. This process includes training the model on the Crop_Disease dataset
vishnun0027/Linear_Regression
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables
vishnun0027/LLM-Function-Calling
LLM function calling allows large language models (LLMs) to execute specific tasks by invoking external functions (APIs or plugins) based on user inputs, enhancing their capabilities beyond text generation.
vishnun0027/LLM-powered-chatbot
implement an LLM-powered chatbot. This chatbot will be able to have a conversation and remember previous interactions.
vishnun0027/Logistic_Regression
Logistic regression is the supervised learning algorithm
vishnun0027/Python_copy
In programming, especially in Python, copying objects can be done in two main ways: shallow copy and deep copy.
vishnun0027/RAG
Build a Retrieval Augmented Generation (RAG)
vishnun0027/Sentiment-Analysis
Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy
vishnun0027/Simple-LLM-Application
This is a simple Language Model (LLM) application that integrates Fastapi and LangChain.
vishnun0027/Text_Classificaion
In this repo i created a Text classification app (flask app ), Text classification is a common NLP task that assigns a label or class to text. One of the most popular forms of text classification is sentiment analysis, which assigns a label like 🙂 positive, 🙁 negative to a sequence of text.
vishnun0027/Text_Summarization_app
In this repo i created a Text Summarization app (flask app ) Summarization creates a shorter version of a document or an article that captures all the important information
vishnun0027/virtual-try-on-glasses
Virtual mirrors allow you to try on eyeglasses online before you buy them select glass and virtual try on using live video
vishnun0027/Document-ChatBot
A Document ChatBot based on Conversational RAG(Retrieval-augmented generation) that retrieves and summarizes information from uploaded documents
vishnun0027/Documents-Summary-App
A simple web application that summarizes documents from a given URL using advanced language processing techniques
vishnun0027/Fine-tune_llama2
fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA.
vishnun0027/PDF-ingestion-QnA-App
This Application based on RAG(Retrieval-augmented generation) that allows users to upload PDF documents and ask questions based on the content of those documents.
vishnun0027/Spam-Detector
Spam detection identifies and filters out unwanted messages, protecting users from scams and clutter. This model, a fine-tuned version of Google’s BERT (bert-base-uncased), achieves high accuracy (99.67%) and low loss (0.0202) on a spam detection dataset, effectively classifying messages as "spam" or "not spam."
vishnun0027/Fine-tuning_BERT_Text_Classification
Fine-tuning BERT for text classification
vishnun0027/Model_evaluation