Multiclass classification with Keras and Tensorflow.

Using Pytorch and OpenCV

Classifying Pneumonia using Pytorch and data from Kaggle.

Performed federated learning using 3 different VirtualWorkers on Google Colab. MNIST data has been distributed among these workers and the model is send to them to train hence securing the Data pri…

Generated Privacy values (Epsilon) Using Pysyft. More details to follow.

Resnet CNN based model is used to train a classifier that can classify Cats and Dogs. This is sort of an introduction project for me to Pytorch,

Built a simple quiz application using Python!

Will be using some Tips and Techniques to analyse data from multiple sources. Mostly casual note-taking based.

Recommendation system using LightFM library that recommends Movies to Users based on their Rating history.

Just fooling around with Tf!

Trying to classify MNIST hand written digit images using Convolutional Neural Networks with Tensorflow.

Generating Hand written digits using Generative Adversarial Networks with Keras library.

Generting New Pokemon out of a Pokemon dataset using Deep Convolutional Generative Adversarial Networks ( DCGAN ).

Will be using Generative Adversarial Networks to Generate some "Evil Architectural Buildings" using some structural image Data from Image-Net.

Face Feature detector using Haarcascade configs and a lil bit of tuning from my side.

Time series analysis of a Ethereum Cryptocurreny Using Artificial Neural Networks.