Sparse Blocks Networks
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Updated
Nov 6, 2018 - Python
Sparse Blocks Networks
Convolutional AutoEncoder application on MRI images
Traffic analysis for Tor-based malware detection and classification
We have implemented a framework that supports developers to structured prune neural networks of Tensorflow Models
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
CBIS DDSM Breast Cancer Mammography Dataset - Convolutional Neural Networks
This is the code for the Cryptocurrency closing price predictor.
Handwriting Recognition and Generation with Long Short Term Memory Recurrent Neural Networks (based off https://github.com/Grzego/handwriting-generation) with better performance on longer inputs and made more accessible as a Flask web app
Repository with scripts in python for the models presented in Andrew Ng's Machine Learning course.
A tiny GUI program for recognizing handwritten mathematical expressions
(Completed) Machine Learning and Multi-Objective Evolutionary Algorithms to Solve Real World Engineering Problems (MultiObjectiveOptimisation and ML)
Artificial Neural Network from scratch
My graduation project on freezing casting data. Forecasting porosity with AI,
This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.
🎨 A minimal implementation of a feedforward Neural Network (Multi-layer perceptron)....and also my first ever neural network.
WIP project to use reinforcement learning to play Yahtzee. Open to suggestions!
Componentization of neural network for Generative Adversarial Networks and Autoencoders
Research repo for Active Learning from Divergent Multiple Teachers
Neural Network Research Project. Simulating government decisions via a Neural network.
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