Ayantanu2002

Ayantanu2002

Basic-Ensemble-Model-Code

In this code 3 type of ensemble model code is clearly explained. The three type of model is Bagging, Stacking, Boosting(Adaboost).

Build-Llama2-Model-From-Scratch-Using-Transformer

ConversationalPDF-using-llama-2

Deeplearning-Code

This repository provides users a complete deep learning coding experience . Here I will uploaded all my coding tutorial.

Heart-disease-prediction-using-Ensemble-Model

Hierarchical-Navigable-Small-World-HNSW-Algorithm

Image_OCR

This project uses the Qwen2 VL model to extract multilingual text from images. It detects text in multiple languages (e.g., Hindi and English) and outputs the extracted content. The project supports various languages and is easily extensible. Perfect for multilingual image text extraction.

Linear-Regression-Lasso-using-python

This script demonstrates linear regression with LASSO regularization using the scikit-learn library. It generates synthetic data from a second-order polynomial equation with added Gaussian noise, segregates the data into training and test datasets, and models the data using a tenth-order polynomial with linear regression.

Logistic-Regression-From-Scratch-in-Python

The provided code compares the performance of a custom implementation of Logistic Regression with scikit-learn's Logistic Regression using the Breast Cancer dataset.

Ayantanu2002/ConversationalPDF-using-llama-2

Ayantanu2002/Ayantanu2002

Ayantanu2002/Basic-Ensemble-Model-Code

In this code 3 type of ensemble model code is clearly explained. The three type of model is Bagging, Stacking, Boosting(Adaboost).

Ayantanu2002/Build-Llama2-Model-From-Scratch-Using-Transformer

Ayantanu2002/Deeplearning-Code

This repository provides users a complete deep learning coding experience . Here I will uploaded all my coding tutorial.

Ayantanu2002/Heart-disease-prediction-using-Ensemble-Model

Ayantanu2002/Hierarchical-Navigable-Small-World-HNSW-Algorithm

Ayantanu2002/Image_OCR

This project uses the Qwen2 VL model to extract multilingual text from images. It detects text in multiple languages (e.g., Hindi and English) and outputs the extracted content. The project supports various languages and is easily extensible. Perfect for multilingual image text extraction.

Ayantanu2002/Linear-Regression-Lasso-using-python

This script demonstrates linear regression with LASSO regularization using the scikit-learn library. It generates synthetic data from a second-order polynomial equation with added Gaussian noise, segregates the data into training and test datasets, and models the data using a tenth-order polynomial with linear regression.

Ayantanu2002/Logistic-Regression-From-Scratch-in-Python

The provided code compares the performance of a custom implementation of Logistic Regression with scikit-learn's Logistic Regression using the Breast Cancer dataset.

Ayantanu2002/Movie-Recomendation-system-Using-Streamlit

Ayantanu2002/News-App

Ayantanu2002/NLP_Pytorch

Ayantanu2002/resume

Ayantanu2002/River-NonRiver-classification-BandImage-using-Gaussian-Naive-Bayes-from-Scratch

Ayantanu2002/robust_digital_image_watermarking

Ayantanu2002/text_to_KG

Ayantanu2002/Vision-Transformer-From_Scratch-Using-Python