VikasSinghBhadouria

Classification-of-Cat-and-Dog-CNN-with-image-augmentation

Classification of images between two classes cat and dog using CNN with image augmentation as available data for training is is limited

contribHack

course-v3

The 3rd edition of course.fast.ai

Credit-Card-Fraud-Detection

Using Deep learning (Artificial Neural network ) we are detecting fraud transaction using anonymized data. As such data is highly biased (fraud transactions are less than 0.1 % in real life ) ,we are using smote to over-sample the data .

Image-Classification-using-VGG-transfer-learning

Image classifier using VGG transfer learning and using our own classifier as head .

Login-Automation

This is a python script for automating the gmail login. same can be used for Facebook and other websites.

ML_or_Deep_learning_Model_Deployement_Sample_Code

Standard Python Code for Model deployment using Flask with multiple endpoints

Multi-Face-Recognition

OpenCV based multi face recognition model.Capture multiple Faces from multiple users to be stored on a DataBase (dataset directory) and their details (id,names) to be stored in a separate CSV file . A separate file for storing LBPH computed model.

Neural-Style-Transfer-

A deep learning based model to use two images (One for content , one for style ) and generate a third image with content of first and style of second .

Scrape-and--post-articles-automated-

This Project is about scrapping news article from a news website (Using python and newspaper library ) and posting them in WordPress based Website through xmlrpc

VikasSinghBhadouria/Scrape-and--post-articles-automated-

This Project is about scrapping news article from a news website (Using python and newspaper library ) and posting them in WordPress based Website through xmlrpc

VikasSinghBhadouria/Login-Automation

This is a python script for automating the gmail login. same can be used for Facebook and other websites.

VikasSinghBhadouria/Credit-Card-Fraud-Detection

Using Deep learning (Artificial Neural network ) we are detecting fraud transaction using anonymized data. As such data is highly biased (fraud transactions are less than 0.1 % in real life ) ,we are using smote to over-sample the data .

VikasSinghBhadouria/Classification-of-Cat-and-Dog-CNN-with-image-augmentation

Classification of images between two classes cat and dog using CNN with image augmentation as available data for training is is limited

VikasSinghBhadouria/Image-Classification-using-VGG-transfer-learning

Image classifier using VGG transfer learning and using our own classifier as head .

VikasSinghBhadouria/ML_or_Deep_learning_Model_Deployement_Sample_Code

Standard Python Code for Model deployment using Flask with multiple endpoints

VikasSinghBhadouria/Multi-Face-Recognition

OpenCV based multi face recognition model.Capture multiple Faces from multiple users to be stored on a DataBase (dataset directory) and their details (id,names) to be stored in a separate CSV file . A separate file for storing LBPH computed model.

VikasSinghBhadouria/Neural-Style-Transfer-

A deep learning based model to use two images (One for content , one for style ) and generate a third image with content of first and style of second .

VikasSinghBhadouria/contribHack

VikasSinghBhadouria/course-v3

The 3rd edition of course.fast.ai

VikasSinghBhadouria/Fast_AI_Top_5_Prediction_classes

Code Snippet for top 5 predictions of Fast AI model

VikasSinghBhadouria/Indonesian_Language_Modelling

Indonesian_Language_Modelling Repo for language model for Indonesian language . Based on FastAI v1

VikasSinghBhadouria/Pytorch_Zero_to_GAN

Repo containing Pytorch guides from Pytorch basics to Creating a GAN for anime characters generation.

VikasSinghBhadouria/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

VikasSinghBhadouria/VikasSinghBhadouria