tomfisher

BMC

Notes on Scientific Computing for Biomechanics and Motor Control

CNN-heatmap

CoordConv-1

dataset-annotator

Scalable, cross-platform ion-electron app that allows the user to annotate an image dataset.

digital-signal-processing-lecture

Lecture notes for a masters course on Digital Signal Processing

ecg

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

ecg-kit

A Matlab toolbox for cardiovascular signal processing

ESRNN-GPU

This is WIP GPU implementation of the ES-RNN model by Slawek et al.

fastai

The fastai deep learning library, plus lessons and and tutorials

gr-wavelearner

Perform deep learning inference on signals

GraphWaveletNeuralNetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

ijcnn19ensemble

Deep Neural Network Ensembles for Time Series Classification

jupytest

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

medical-data

MTSS-Multivariate-Time-Series-Software

A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).

NegBio

:newspaper: High-performance tool for negation and uncertainty detection in radiology reports

ng-bokeh

Angular wrapper for bokehJS

pyFDA

Python Filter Design Analysis Tool

pytorch-esn

Echo State Network module for PyTorch.

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SeqSleepNet

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

sfs-python

SFS Toolbox for Python

sparrow-wifi

Next-Gen GUI-based WiFi and Bluetooth Analyzer for Linux

Time-Series

The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regression problems, as well as compare performance to more traditional statistical methods.

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

URLNet

Repository for URLnet