ChaitanyaK77

Advanced_Image_Reconstruction_Autoencoders.

Advanced Image Reconstruction using Autoencoders is a project that explores the application of convolutional autoencoder models to enhance image quality. It employs sophisticated algorithms to intelligently reconstruct images, aiming to improve clarity and retain important details.

Comparative-Study-TensorFlow-vs.-Custom-Neural-Network-Models

This repository presents a comprehensive comparative study that delves into the weights and biases of both inbuilt and custom-built Sequential Neural Network (SNN) models. The primary objective is to gain a deeper understanding of the differences and nuances between these two approaches.

DocBot

DocBot is a cutting-edge machine learning model built with a user-friendly Graphical User Interface (GUI) for seamless disease prediction based on input symptoms. By leveraging ML algorithms and intuitive design, DocBot provides accurate and accessible disease predictions, transforming the healthcare experience for users.

GANs

Tooling for GANs in TensorFlow

How-to-Initialize-TensorFlow-Environment-on-M4-M4-Pro-and-M4-Max-Macbook-Pros-

Initializing-TensorFlow-Environment-on-M3-M3-Pro-and-M3-Max-Macbook-Pros.

Unlock the full potential of your Apple Silicon-powered M3, M3 Pro, and M3 Max MacBook Pros by leveraging TensorFlow, the open-source machine learning framework. This repository is tailored to provide an optimized environment for setting up and running TensorFlow on Apple's cutting-edge M3 chips.

Kolmogorov-Arnold-Networks-KANS-implementation-for-Heart-disease-evaluation

Llama-2-7B-Model-Fine-Tuning

Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.

Optimal-Detection-of-Diabetic-Retinopathy-Severity-Using-Attention-Based-CNN-and-Vision-Transformers

This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.

Predictive-Maintenance-of-Gearbox-using-vibration-sensors-data-

This project focuses on the critical task of predictive maintenance in industrial settings, specifically targeting gearbox machinery. By harnessing the power of vibration sensor data, I have developed a predictive maintenance solution that enables early detection of potential faults and failures in gearboxes

ChaitanyaK77/Initializing-TensorFlow-Environment-on-M3-M3-Pro-and-M3-Max-Macbook-Pros.

Unlock the full potential of your Apple Silicon-powered M3, M3 Pro, and M3 Max MacBook Pros by leveraging TensorFlow, the open-source machine learning framework. This repository is tailored to provide an optimized environment for setting up and running TensorFlow on Apple's cutting-edge M3 chips.

ChaitanyaK77/Advanced_Image_Reconstruction_Autoencoders.

Advanced Image Reconstruction using Autoencoders is a project that explores the application of convolutional autoencoder models to enhance image quality. It employs sophisticated algorithms to intelligently reconstruct images, aiming to improve clarity and retain important details.

ChaitanyaK77/Optimal-Detection-of-Diabetic-Retinopathy-Severity-Using-Attention-Based-CNN-and-Vision-Transformers

This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.

ChaitanyaK77/Comparative-Study-TensorFlow-vs.-Custom-Neural-Network-Models

This repository presents a comprehensive comparative study that delves into the weights and biases of both inbuilt and custom-built Sequential Neural Network (SNN) models. The primary objective is to gain a deeper understanding of the differences and nuances between these two approaches.

ChaitanyaK77/DocBot

DocBot is a cutting-edge machine learning model built with a user-friendly Graphical User Interface (GUI) for seamless disease prediction based on input symptoms. By leveraging ML algorithms and intuitive design, DocBot provides accurate and accessible disease predictions, transforming the healthcare experience for users.

ChaitanyaK77/How-to-Initialize-TensorFlow-Environment-on-M4-M4-Pro-and-M4-Max-Macbook-Pros-

ChaitanyaK77/Kolmogorov-Arnold-Networks-KANS-implementation-for-Heart-disease-evaluation

ChaitanyaK77/langchain

⚡ Building applications with LLMs through composability ⚡

ChaitanyaK77/Llama-2-7B-Model-Fine-Tuning

Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.

ChaitanyaK77/ollama

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

ChaitanyaK77/Algorithms

Welcome to the world of Algorithms in C! This repository serves as a comprehensive collection of various essential algorithms, ranging from classic sorting techniques like Insertion Sort, Merge Sort, Quicksort, and Selection Sort, to advanced algorithms like N-Queens, Kruskal's Algorithm, SOS, Floyd-Warshall, Fractional Knapsack,(LCS).

ChaitanyaK77/Churn_Prediction_ANN

This repository contains a comprehensive Python script for building and training an Artificial Neural Network (ANN) model to predict customer churn using customer data. The code includes extensive data preprocessing steps, such as scaling, one-hot encoding, and visualization, to ensure the model's accuracy and effectiveness.

ChaitanyaK77/Decoding_Neural_Architecture

ChaitanyaK77/Development-of-Annual-Average-Wages-USD-

ChaitanyaK77/Digits-Classification-using-MLP

This project involves using a Multilayer Perceptron (MLP) to classify handwritten digits. In this project, an MLP model is trained on a dataset of handwritten digits to recognize and classify them accurately.

ChaitanyaK77/Disparate-Fashion-Classification-DL-

ChaitanyaK77/dspy

DSPy: The framework for programming—not prompting—foundation models

ChaitanyaK77/FasterRCNN-and-Detectron2-for-Thermal-Drone-Detection

ChaitanyaK77/FasterRCNNChaitanyaKakade

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

ChaitanyaK77/Heart-Disease-prediction-with-Advanced-SMOTE-Implementation-and-ROC-learning

ChaitanyaK77/IEEE-IGARSS-2024.

ChaitanyaK77/Improving-Sign-Language-Interpretation-with-Multi-headed-CNN-Hand-Landmarks-and-LLM

ChaitanyaK77/Loss-Cost-Function-in-DL

This repo serves as a showcase for the implementation of various cost functions commonly used in the measurement of efficient weights and biases during the critical phase of backward propagation in neural networks.

ChaitanyaK77/NBR-Ratio

ChaitanyaK77/NBR_Ratio

ChaitanyaK77/New

ChaitanyaK77/SGD-v-s-BGD

Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).

ChaitanyaK77/Sign-Language-To-Text-Converter

ChaitanyaK77/Synthetic-Soil-Data-Generation-using-GANs

This repository showcases an approach of regenerating the missing data and generating totally new data in future using generative adversarial networks with a modified proprietary architecture.

ChaitanyaK77/World-Population-2023-Insights.

A deep insight into visualisation of World population with respect to multiple factors.