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

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

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

Tensorflow, Fully-connected Network

Neural Network

Aircraft Engine Run-to-Failure Simulation

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