All Projects → srp98 → Prediction-using-Bayesian-Neural-Network

srp98 / Prediction-using-Bayesian-Neural-Network

Licence: MIT license
Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Programming Languages

matlab
3953 projects
TeX
3793 projects

Projects that are alternatives of or similar to Prediction-using-Bayesian-Neural-Network

timemachines
Predict time-series with one line of code.
Stars: ✭ 342 (+1121.43%)
Mutual labels:  time-series, prediction-algorithm
MarketData.jl
Time series market data
Stars: ✭ 118 (+321.43%)
Mutual labels:  time-series
DataScience ArtificialIntelligence Utils
Examples of Data Science projects and Artificial Intelligence use cases
Stars: ✭ 302 (+978.57%)
Mutual labels:  time-series
sentometrics
An integrated framework in R for textual sentiment time series aggregation and prediction
Stars: ✭ 77 (+175%)
Mutual labels:  time-series
mtss-gan
MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Stars: ✭ 77 (+175%)
Mutual labels:  time-series
Awesome-Human-Activity-Recognition
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
Stars: ✭ 72 (+157.14%)
Mutual labels:  time-series
VBT-Barbell-Tracker
A proof of concept app to optically track a barbell through its range of motion using OpenCV to give the lifter realtime feedback on concentric avg velocity, cutoff velocity, and displacement for a Velocity Based Training program.
Stars: ✭ 53 (+89.29%)
Mutual labels:  object-tracking
unicornn
Official code for UnICORNN (ICML 2021)
Stars: ✭ 21 (-25%)
Mutual labels:  time-series
data-viz-utils
Functions for easily making publication-quality figures with matplotlib.
Stars: ✭ 16 (-42.86%)
Mutual labels:  time-series
AC-VRNN
PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Stars: ✭ 21 (-25%)
Mutual labels:  time-series
video labeler
A GUI tool for conveniently label the objects in video, using the powerful object tracking.
Stars: ✭ 87 (+210.71%)
Mutual labels:  object-tracking
AutoTS
Automated Time Series Forecasting
Stars: ✭ 665 (+2275%)
Mutual labels:  time-series
openPDC
Open Source Phasor Data Concentrator
Stars: ✭ 109 (+289.29%)
Mutual labels:  time-series
go-time-series
Time series implementation in Go
Stars: ✭ 27 (-3.57%)
Mutual labels:  time-series
Soft-DTW-Loss
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Stars: ✭ 76 (+171.43%)
Mutual labels:  time-series
OpenCV
Computer Vision programs like Motion Detection, Color Tracking, Motion Rcording, Optical Flow and Object Tracking using Python with OpenCV library
Stars: ✭ 21 (-25%)
Mutual labels:  object-tracking
awesome-Python-data-science-books
Probably the best curated list of data science books in Python
Stars: ✭ 331 (+1082.14%)
Mutual labels:  time-series
pytorch-timeseries
PyTorch implementations of neural networks for timeseries classification
Stars: ✭ 76 (+171.43%)
Mutual labels:  time-series
CoronaDash
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Stars: ✭ 20 (-28.57%)
Mutual labels:  time-series
wavefront-proxy
Wavefront Proxy Project
Stars: ✭ 45 (+60.71%)
Mutual labels:  time-series

Prediction-using-Bayesian-Neural-Network

Prediction of continuous signals data and object tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

Software Required

  • Matlab 2016a and above

Data used

Two types of data were used and code for them is slightly different

  • Firstly tested network on continous time series data (Wave Signals)
  • Second data set was Object tracking data from a webcam

Running Code

Run the Matlab (.m) file from the algorithm folder you wish to see. Free to change the parameters for training and testing data, change the amount of hidden activation units in a neural network depending on your system performance.

It generates Error performance files and the Network interface generates the results.

Credits

Salam Ismaeel for helpful tips.

Jason for providing the Object Tracking Data on our NSERC Project.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].