Simulation code and tutorial for BBHnet training data

Overview

Simulation Dataset for BBHnet

NOTE: OLD README, UPDATE IN PROGRESS

We generate simulation dataset to train BBHnet, our deep learning framework for detection of compact binary coalescene (CBC) gravitational-wave (GW) signals .

Example

To generate a noise dataset, simply run generateRealNoise.py:

python generateRealNoise.py -t0 1186729980 -t1 1186734086 -t0-psd 1186729980 -t1-psd 1186734086
    -fs 1024 -fmin 20 -o test_noise.h5

To also add CBC signals, enable the flag -S and add the prior distribution file in Bilby format with -p

python generateRealNoise.py -t0 1186729980 -t1 1186734086 -t0-psd 1186729980 -t1-psd 1186734086
    -fs 1024 -fmin 20 -S -p config/priors/nonspin_BBH.prior -o test_signal.h5

A full list of generateRealNoise.py arguments can be found below:

usage: generateRealNoise.py [-h] -t0 FRAME_START -t1 FRAME_STOP -t0-psd FRAME_START_PSD -t1-psd FRAME_STOP_PSD -o OUTFILE [-S]
                            [-fs SAMPLE_RATE] [-fmin HIGH_PASS] [-T SAMPLE_DURATION] [-dt TIME_STEP] [-p PRIOR_FILE]
                            [--correlation-shift CORRELATION_SHIFT] [--min-trigger MIN_TRIGGER] [--max-trigger MAX_TRIGGER]
                            [-s SEED]

optional arguments:
  -h, --help            show this help message and exit
  -t0 FRAME_START, --frame-start FRAME_START
                        starting GPS time of strain
  -t1 FRAME_STOP, --frame-stop FRAME_STOP
                        stopping GPS time of strain
  -t0-psd FRAME_START_PSD, --frame-start-psd FRAME_START_PSD
                        starting GPS time of strain for PSD estimation
  -t1-psd FRAME_STOP_PSD, --frame-stop-psd FRAME_STOP_PSD
                        stopping GPS time of strain for PSD estimation
  -o OUTFILE, --outfile OUTFILE
                        path to write output file in HDF5 format
  -S, --signal          Enable to add GW signal on top of background noise
  -fs SAMPLE_RATE, --sample-rate SAMPLE_RATE
                        sampling rate of strain
  -fmin HIGH_PASS, --high-pass HIGH_PASS
                        frequency of highpass filter
  -T SAMPLE_DURATION, --sample-duration SAMPLE_DURATION
                        duration in seconds of each sample
  -dt TIME_STEP, --time-step TIME_STEP
                        time step size in seconds between consecutive samples
  -p PRIOR_FILE, --prior-file PRIOR_FILE
                        path to prior config file. Required for signal simulation
  --correlation-shift CORRELATION_SHIFT
                        if given, also compute the correlation with given shift value
  --min-trigger MIN_TRIGGER
                        mininum trigger time w.r.t to sample. must be within [0, sample_duration]
  --max-trigger MAX_TRIGGER
                        maximum trigger time w.r.t to sample. must be within [0, sample_duration]
  -s SEED, --seed SEED  random seed for reproducibility

Evaluating deep transfer learning for whole-brain cognitive decoding

Evaluating deep transfer learning for whole-brain cognitive decoding This README file contains the following sections: Project description Repository

Armin Thomas 5 Oct 31, 2022
Exponential Graph is Provably Efficient for Decentralized Deep Training

Exponential Graph is Provably Efficient for Decentralized Deep Training This code repository is for the paper Exponential Graph is Provably Efficient

3 Apr 20, 2022
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021)

RSCD (BS-RSCD & JCD) Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes (CVPR2021) by Zhihang Zhong, Yinqiang Zheng, Imari Sato We co

81 Dec 15, 2022
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

InferPy: Deep Probabilistic Modeling Made Easy InferPy is a high-level API for probabilistic modeling written in Python and capable of running on top

PGM-Lab 141 Oct 13, 2022
Writeups for the challenges from DownUnderCTF 2021

cloud Challenge Author Difficulty Release Round Bad Bucket Blue Alder easy round 1 Not as Bad Bucket Blue Alder easy round 1 Lost n Found Blue Alder m

DownUnderCTF 161 Dec 31, 2022
A transformer-based method for Healthcare Image Captioning in Vietnamese

vieCap4H Challenge 2021: A transformer-based method for Healthcare Image Captioning in Vietnamese This repo GitHub contains our solution for vieCap4H

Doanh B C 4 May 05, 2022
An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" in Pytorch.

GLOM An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" for MNIST Dataset. To understand this

50 Oct 19, 2022
Google Recaptcha solver.

byerecaptcha - Google Recaptcha solver. Model and some codes takes from embium's repository -Installation- pip install byerecaptcha -How to use- from

Vladislav Zenkevich 21 Dec 19, 2022
A customisable game where you have to quickly click on black tiles in order of appearance while avoiding clicking on white squares.

W.I.P-Aim-Memory-Game A customisable game where you have to quickly click on black tiles in order of appearance while avoiding clicking on white squar

dE_soot 1 Dec 08, 2021
Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification

Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification (AAAI 2022) Prerequisite PyTorch = 1.2.0 P

16 Dec 14, 2022
DANet for Tabular data classification/ regression.

Deep Abstract Networks A PyTorch code implemented for the submission DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Do

Ronnie Rocket 55 Sep 14, 2022
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

AnimeGAN A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. Randomly Generated Images The images are

Jie Lei 雷杰 1.2k Jan 03, 2023
Face-Recognition-Attendence-System - This face recognition Attendence system using Python

Face-Recognition-Attendence-System I have developed this face recognition Attend

Riya Gupta 4 May 10, 2022
This is the repository for The Machine Learning Workshops, published by AI DOJO

This is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.

AI Dojo 12 May 06, 2022
Official PyTorch implementation of GDWCT (CVPR 2019, oral)

This repository provides the official code of GDWCT, and it is written in PyTorch. Paper Image-to-Image Translation via Group-wise Deep Whitening-and-

WonwoongCho 135 Dec 02, 2022
Convnext-tf - Unofficial tensorflow keras implementation of ConvNeXt

ConvNeXt Tensorflow This is unofficial tensorflow keras implementation of ConvNe

29 Oct 06, 2022
SpecAugmentPyTorch - A Pytorch (support batch and channel) implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

SpecAugment An implementation of SpecAugment for Pytorch How to use Install pytorch, version=1.9.0 (new feature (torch.Tensor.take_along_dim) is used

IMLHF 3 Oct 11, 2022
Implementation of CSRL from the AAAI2022 paper: Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning

CSRL Implementation of CSRL from the AAAI2022 paper: Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Python: 3

4 Apr 14, 2022
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Robust Video Matting (RVM) English | 中文 Official repository for the paper Robust High-Resolution Video Matting with Temporal Guidance. RVM is specific

flow-dev 2 Aug 21, 2022
Lepard: Learning Partial point cloud matching in Rigid and Deformable scenes

Lepard: Learning Partial point cloud matching in Rigid and Deformable scenes [Paper] Method overview 4DMatch Benchmark 4DMatch is a benchmark for matc

103 Jan 06, 2023