God Quest Bennett's repositories

BraTs2018

Brats segmentation pytorch

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tf_jetson_nano

How to run Keras model on Jetson Nano

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ml5-library

Friendly machine learning for the web! 🤖

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tfjs-converter

Convert TensorFlow SavedModel and Keras models to TensorFlow.js

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EJECTION-FRACTION-IRREGULARITY-DETECTION-MODEL

A deep residual neural network framework par heart irregularity detection (Compiled in python; by Jordan Micah Bennett)

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image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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Brain_Glioma

Documentation for the 2018 BraTS competition

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FastPhotoStyle

Style transfer, deep learning, feature transform

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God

A non-absolute, time-space complex optimal artificial brain (composed in matrix laboratory (matlab), by Jordan Micah Bennett)

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numjs

Like NumPy, in JavaScript

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MIT_Scheme

An implementation of inter-patient arrhythmia diagnosis using Andrew Y. Ng-style ResNet

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ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

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Detecting-Pneumonia-in-Chest-X-Rays

A Computer Vision model made in PyTorch that detects Pneumonia in Chest X-Rays

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Cardiac_arrhythmia_analysis

This is used to optimize the selection of individual schedule for exam invigilation

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the-gan-zoo

A list of all named GANs!

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Monitoring-System-using-Irregular-Activity-Detection-based-on-Posture-and-Behavioral-Analysis

Public places like restaurants and certain other viable places like banks or ATM’s are in need of constant supervision against amoral and undesirable activities. These undesirable activites are often markedly preceded by apparent behavioral quirks. However, constant manual monitoring using security cameras may miss abnormal cues preceeding unpleasant consequences due to human error. Picking up these quirks can improve the efficiency of monitoring any public place.This project attempts to semi-automize the security system using machine learning and image processing techniques to increase the efficacy and accuracy in the prediction of abnormal behaviour.

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ECG-Arrhythmia-classification

ECG arrhythmia classification using a 2-D convolutional neural network

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DrugAI

Generation and Classification of Drug Like molecule usings Neural Networks

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Face-Attendance-System

An Attendance Checking System using Deep Facial Recognition, written in Python.

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Keras-SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

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DeepGamingAI_FIFAVA

A voice-assistant for the game of FIFA (windows platform) to control game actions with your voice.

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Targeted-marketing

Building Predictive Models for a Targeted Marketing Campaign

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EAST

A tensorflow implementation of EAST text detector

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text-to-image

Generative Adversarial Text to Image Synthesis / Please Star -->

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Pneumonia-Detection-from-Chest-X-Ray-Images-with-Deep-Learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

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gst-tacotron

A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"

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deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

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NEURAL-NETWORK-SIMPLE_V0.1

A scratch written implementation of a basic artificial neural network Written in Java by Jordan Micah Bennett)

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babyai

BabyAI platform. A testbed for training agents to understand and execute natural language commands.

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