An implementation of various metaheuristics adapted to train neural networks

Assignments for the Machine Learning course (COL774) at IITD

Testing various examples and code for Machine Learning using TensorFlow

Backpropogation algorithm implemented in Python 3

This gradient decent library has not only a determination function, but it has emotions too, as an add on! (Currently the emotions are anger, surprise and excitement)(By emotions, I JUST MEAN BUILT-IN FUNCTIONS FOR EFFICIENT TRAINING)

The Deep Learning exercises provided in DataCamp

Built from scratch neural network library using only NumPy

AutoDiff project made as part of CS689 - Machine Learning , UMass Amherst.

Numpy NeuralNetworks with Keras like interface

Implementation of Logistic Regression considering a single Neural Network Node

Visualization Tool For Keras

Anomaly detection and ML for double Higgs studies

Implementation of a simple neural network with one hidden layer and training with backpropagation