A machine learning model that can classify real and AI generated images
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Updated
Jul 9, 2023 - Jupyter Notebook
A machine learning model that can classify real and AI generated images
Deep Learning project to predict the outcomes of football matches
In this project I created a sequential neural network to find the gender, case and number of words in Hindi. And also used Viterbi Algorithm to find the POS tags of words in a sentence in Hindi.
This repository contains the implementations of different neural network algorithms. The implementation is done without using any library functions.
A neural machine translation framework based on transformer architecture, with most of the code refered to Li Mu's 《Dive into deep learning》, has completely removed its dependence on D2L.
In this repo I am trying to build test automation framework using machine learning in the error detection and prediction. By using ML the framework will be able to recover from the issue will face during execution process.
Tensorix is a minimalistic and highly compatible Python library designed to facilitate efficient communication with GPUs.
The perceptron algorithm is the basic algorithm for classification, which serves as the backbone of the Neural Networks and SVM linear classification. This code will provide a deep understanding of the algorithm by taking you through it from scratch.
Using a supercar and a common car datasets, we analyzed car variables with prices. Also created two machine learning models to create more relationships between variables and predict prices
Training and saving a model using cats_vs_dogs datasets to perform image classification
My projects and practices on various segments of machine learning and deep learning.
Building Simple Neural Network Model from Scratch Using Python to Identify Patterns in Dataset to Make Predictions.
Face ID Authentication Website
Comparison between various ML models to determine personality type (MBTI) based on some text people have written using Scikit-Learn
This project presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD).
ML Classification model to approve or deny credit card applications.
Introducing the data-driven concept through neural networks to price an option whose volatility is measured as a stochastic process.
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