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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras

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.

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).

california-house-price-prediction

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.

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.

datastructures

This repository showcases a collection of data structure simulations implemented in C.

decoding_neural_architecture

development-of-annual-average-wages-usd-

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.

disparate-fashion-classification-dl-

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

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

handwriting-classification-of-mnist-dataset-advanced-

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.

langchain

⚡ Building applications with LLMs through composability ⚡

llama

Inference code for LLaMA models

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.

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

mitdl

Tutorials, assignments, and competition

nbr-ratio

nbr_ratio

new

ortaggio

A restaurant website with a feature of reserving a seat where you want to sit.

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

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).

sign-language-to-text-converter

tic-tac-toe

A Tic-Tac-Toe Game built using React

world-population-2023-insights.

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