A Fast, Extensible Trainer and Extensions for Pytorch

PyTorch Pipeline with keras-like callbacks such as MetricTracker, TensorBoard, EarlyStopping, ModelCheckpoint and ProgressBar.

It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)

The purpose of Food Vision project is to classify 101 variety of food items using Machine Learning.

This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

Build from scratch

Tensorflow, Fully-connected Network

Detects page flips from low-resolution camera preview and takes a high-resolution picture of the document, recognizing its corners and crops it accordingly

Activation function, feed forward network, Training a Neural Network, Error and Loss Function, Optimization, Backpropagation, Early stopping, Model Saving

Aircraft Engine Run-to-Failure Simulation

Neural Network

Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

Early Stopping for Pytorch / Better Confusion Matrix

It is a simple project where vehicle classification in malaysia for research purpose. This project will be use in deep learning apporach include efficientnet and inception