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cnn-image-classification

This project is focused on developing a CNN deep learning model to classify images

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

densenet-image-classification

fine-tune_llama2

fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA.

image_classification

linear_regression

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables

logistic_regression

Logistic regression is the supervised learning algorithm

mobilenet-image-classification

model_evaluation

nlp

Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation

python_copy

In programming, especially in Python, copying objects can be done in two main ways: shallow copy and deep copy.

rag

Build a Retrieval Augmented Generation (RAG)

sentiment-analysis

Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy

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.

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

vgg-image-classification

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

xception-image-classification