khaledbenag

Airbnb_price_prediction

Airbnb data exploration and price prediction

awesome-industrial-machine-datasets

pipeline_disaster_response

spark_to_sparkify

The code for Udacity NanoDegree capstone project. Sparkify is music streaming service analyzed using spark.

bearing_rul_predict

breast_cancer

Hematoxylin and DAB separation using colour deconvolution.

cellsegmentation_TIP2015

Code for the paper "An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells" published on IEEE Transactions on Image Processing

ConceptWhitening

DILATE

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

DL-based-Intelligent-Diagnosis-Benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

DRL-Energy-Management

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

JKQtPlotter

an extensive Qt4/Qt5 Plotter framework (including a fast variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies

keras-tcn

Keras Temporal Convolutional Network.

keras-uncertainty

Utilities to perform Uncertainty Quantification on Keras Models

keras-utility-layer-collection

Collection of custom layers and utility functions for Keras which are missing in the main framework.

machinery

Mixture-Density-Networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

ode-lstms

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

opem

OPEM (Open Source PEM Fuel Cell Simulation Tool)

PathoNet

Predictive-Uncertainty-Estimation-using-Deep-Ensemble

This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble

Sampling-free-Epistemic-Uncertainty

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

SDE-Net

implementations sde-net

stackoverflow

Findings from Stackoverflow 2017

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

TransferLearningTimeSeries

Transfer Learning for Time Series Prediction Task

UncertaintyEstimation

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

UNet_Multiclass

UNet for Multiclass Semantic Segmentation, on Keras, based on Segmentation Models' Unet libray