Sankethgadadinni's Projects
The repository consists of automatic building of machine learning models using Pycaret.
using Regressor models predicting house prices
This repository consists pytorch code of Cycle-GAN implementaion from scratch.
Using KnearestNeighbor classification predicting diabetes
Using transfer learning classifying dogs and cats
Usage conventional neural networks
Image captioning using convolution networks
This repository consists of multiclass image classification implementation.
Using LSTM to predict gold prices
Using KMeans Unsupervised algorithm to cluster the customers in a mall
Logistic Neural Networks
a machine learning model to predict if the patient should be classified as in care or out care based on the patient's laboratory test result.
This repository consists of implementation and training of Generative Adversarial Networks using MNIST dataset.
The Pix2Pix model is a type of conditional GAN, or cGAN, where the generation of the output image is conditional on an input, in this case, a source image. The discriminator is provided both with a source image and the target image and must determine whether the target is a plausible transformation of the source image.
Using VGG19 transfer learning model classifying Path hole and Plain Roads
Using deep learning technique to classify the tomato leaf diseases
Implementation of "Attention Is All You Need" using pytorch
Classification of URL's as legitimate or not using classification models