sankethgadadinni

AI-content-classifier

autoML-using-pycaret

The repository consists of automatic building of machine learning models using Pycaret.

Brain-Cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales.

BrandDetection

CaliforniaHousePricePrediction

using Regressor models predicting house prices

Cycle-GAN

This repository consists pytorch code of Cycle-GAN implementaion from scratch.

Data-Structures-in-python

DiabetesPrediction

Using KnearestNeighbor classification predicting diabetes

LSTM-Time-Series

Using LSTM to predict gold prices

Pytorch-Pix2Pix

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.

sankethgadadinni/LSTM-Time-Series

Using LSTM to predict gold prices

sankethgadadinni/Pytorch-Pix2Pix

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.

sankethgadadinni/AI-content-classifier

sankethgadadinni/autoML-using-pycaret

The repository consists of automatic building of machine learning models using Pycaret.

sankethgadadinni/Brain-Cog

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales.

sankethgadadinni/BrandDetection

sankethgadadinni/CaliforniaHousePricePrediction

using Regressor models predicting house prices

sankethgadadinni/Cycle-GAN

This repository consists pytorch code of Cycle-GAN implementaion from scratch.

sankethgadadinni/Data-Structures-in-python

sankethgadadinni/DiabetesPrediction

Using KnearestNeighbor classification predicting diabetes

sankethgadadinni/DogsandCatsImageClassification

Using transfer learning classifying dogs and cats

sankethgadadinni/FashionMNIST-

Usage conventional neural networks

sankethgadadinni/Image-Captioning

Image captioning using convolution networks

sankethgadadinni/Image-Classification-Using-pytorch-lightning

This repository consists of multiclass image classification implementation.

sankethgadadinni/MallCustomerClustering

Using KMeans Unsupervised algorithm to cluster the customers in a mall

sankethgadadinni/MNSIT-dataset

Logistic Neural Networks

sankethgadadinni/PatientTreatmentClassification

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.

sankethgadadinni/Pytorch-GAN

This repository consists of implementation and training of Generative Adversarial Networks using MNIST dataset.

sankethgadadinni/Pytorch-Image-Classification

sankethgadadinni/Pytorch-transformer-from-scratch

sankethgadadinni/pytorch-transformer-text-classification

sankethgadadinni/Recurrent-neural-networks

sankethgadadinni/RoadImageClassification

Using VGG19 transfer learning model classifying Path hole and Plain Roads

sankethgadadinni/Tomatoleafdiseaseclassification

Using deep learning technique to classify the tomato leaf diseases

sankethgadadinni/transformer

Implementation of "Attention Is All You Need" using pytorch

sankethgadadinni/URLphishing

Classification of URL's as legitimate or not using classification models

sankethgadadinni/webgpt