Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript

Overview

Scalable Bayesian divergence time estimation with ratio transformations

This repository contains the instructions and files to reproduce the analyses performed in the "Scalable Bayesian divergence time estimation with ratio transformations" paper by Ji et al.

Setting up BEAGLE

Please follow the BEAGLE installation instructions. But get the hmc-clock branch.

For Mac users, the following commands will compile the CPU version of BEAGLE. Follow the instructions if you need to install any other dependent software.

xcode-select --install
brew install libtool autoconf automake
git clone -b hmc-clock https://github.com/beagle-dev/beagle-lib.git
cd beagle-lib
mkdir build
cd build
cmake -DBUILD_CUDA=OFF -DBUILD_OPENCL=OFF ..
sudo make install

For Linux users, the commands are similar.

sudo apt-get install build-essential autoconf automake libtool git pkg-config openjdk-9-jdk
git clone -b hmc-clock https://github.com/beagle-dev/beagle-lib.git
cd beagle-lib
mkdir build
cd build
cmake -DBUILD_CUDA=OFF -DBUILD_OPENCL=OFF ..
sudo make install

The libraries are installed into /usr/local/lib. You can find them by ls /usr/local/lib/*beagle*.

Setting up BEAST

The following commands will compile the hmc-clock branch of BEAST.

git clone -b hmc-clock https://github.com/beast-dev/beast-mcmc.git
cd beast-mcmc
ant

For Mac users, you may need to install ant by brew install ant through Homebrew.

For Linux users, you can install ant by sudo apt-get install ant.

This will compile the jar files under beast-mcmc/build/dist/ where you can find beast.jar, beauti.jar and trace.jar.

Reproducing the analyses

You may use the following commands for each case of the three data sets as described in the manuscript.

Change your working directory to where you want to store the resulting log files first.

cd where_you_want_to_save_results

West Nile Virus

  • "time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/WNV/WNV_skyline_onlyHeights_HMC_save -overwrite where_this_repository_is_stored/xmls/WNV/WNV_Skyline_onlyHeights_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/WNV/WNV_skyline_onlyHeights_Serial_save -overwrite where_this_repository_is_stored/xmls/WNV/WNV_skyline_onlyHeight_Univariable.xml
    
  • "rate & time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/WNV/WNV_skyline_rateNTime_HMC_save -overwrite where_this_repository_is_stored/xmls/WNV/WNV_Skyline_rateNTime_only_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/WNV/WNV_skyline_rateNTime_Serial_save -overwrite where_this_repository_is_stored/xmls/WNV/WNV_skyline_rateNTime_Univariable.xml
    

Rabies virus

  • "time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/RRV/RABV_Exp_onlyHeights_HMC_save -overwrite where_this_repository_is_stored/xmls/RRV/RacRABV_Exp_onlyHeights_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/RRV/RABV_Exp_onlyHeights_Univariable_save -overwrite where_this_repository_is_stored/xmls/RRV/RacRABV_Exp_onlyHeights_Univariable.xml
    
  • "rate & time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/RRV/RABV_Exp_HMC_rateNtime_save -overwrite where_this_repository_is_stored/xmls/RRV/RacRABV_Exp_rateNTime_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/RRV/RABV_Exp_rateNTime_Univariable_save -overwrite where_this_repository_is_stored/xmls/RRV/RacRABV_Exp_rateNTime_Univariable.xml
    

Lassa Virus

  • "time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/Lassa/Lassa_skygrid_onlyHeights_HMC_save -overwrite where_this_repository_is_stored/xmls/Lassa/Lassa_S_skygrid_onlyHeights_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/Lassa/Lassa_skygrid_onlyHeights_Univariable_save -overwrite where_this_repository_is_stored/xmls/Lassa/Lassa_S_skygrid_onlyHeights_Univariable.xml
    
  • "rate & time" scenario

    • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/Lassa/Lassa_skygrid_rateNTime_HMC_save -overwrite where_this_repository_is_stored/xmls/Lassa/Lassa_S_skygrid_rateNTime_HMC.xml
    
    • Univariable
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -load_state where_this_repository_is_stored/xmls/Lassa/Lassa_skygrid_rateNTime_Univariable_save -overwrite where_this_repository_is_stored/xmls/Lassa/Lassa_S_skygrid_rateNTime_Univariable.xml
    

Ebola Virus

  • HMC
     java -jar -Djava.library.path=/usr/local/lib where_beast_is_git_cloned/beast-mcmc/build/dist/beast.jar -beagle_CPU -beagle_SSE_off -seed 666 -overwrite where_this_repository_is_stored/xmls/EVD/ebov_HMC_all.xml
    
Owner
Suchard Research Group
Suchard Research Group
Efficient 6-DoF Grasp Generation in Cluttered Scenes

Contact-GraspNet Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter

NVIDIA Research Projects 148 Dec 28, 2022
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio

Choi Sang Bum 203 Jan 05, 2023
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this

Nervana 3.9k Dec 20, 2022
This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021.

PyTorch implementation of DAQ This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021. For more informatio

CV Lab @ Yonsei University 36 Nov 04, 2022
Text-to-Music Retrieval using Pre-defined/Data-driven Emotion Embeddings

Text2Music Emotion Embedding Text-to-Music Retrieval using Pre-defined/Data-driven Emotion Embeddings Reference Emotion Embedding Spaces for Matching

Minz Won 50 Dec 05, 2022
A Number Recognition algorithm

Paddle-VisualAttention Results_Compared SVHN Dataset Methods Steps GPU Batch Size Learning Rate Patience Decay Step Decay Rate Training Speed (FPS) Ac

1 Nov 12, 2021
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Self-labelling via simultaneous clustering and representation learning 🆗 🆗 🎉 NEW models (20th August 2020): Added standard SeLa pretrained torchvis

Yuki M. Asano 469 Jan 02, 2023
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection.

The Equalization Losses for Long-tailed Object Detection and Instance Segmentation This repo is official implementation CVPR 2021 paper: Equalization

Jingru Tan 129 Dec 16, 2022
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

LightNet++ !!!New Repo.!!! ⇒ EfficientNet.PyTorch: Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights !!

linksense 237 Jan 05, 2023
This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies.

Learning to Learn Graph Topologies This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies. Requirem

Stacy X PU 16 Dec 09, 2022
Cross-Task Consistency Learning Framework for Multi-Task Learning

Cross-Task Consistency Learning Framework for Multi-Task Learning Tested on numpy(v1.19.1) opencv-python(v4.4.0.42) torch(v1.7.0) torchvision(v0.8.0)

Aki Nakano 2 Jan 08, 2022
This repo contains the official code and pre-trained models for the Dynamic Vision Transformer (DVT).

Dynamic-Vision-Transformer (Pytorch) This repo contains the official code and pre-trained models for the Dynamic Vision Transformer (DVT). Not All Ima

210 Dec 18, 2022
Automatic 2D-to-3D Video Conversion with CNNs

Deep3D: Automatic 2D-to-3D Video Conversion with CNNs How To Run To run this code. Please install MXNet following the official document. Deep3D requir

Eric Junyuan Xie 1.2k Dec 30, 2022
Code for the paper "Asymptotics of ℓ2 Regularized Network Embeddings"

README Code for the paper Asymptotics of L2 Regularized Network Embeddings. Requirements Requires Stellargraph 1.2.1, Tensorflow 2.6.0, scikit-learm 0

Andrew Davison 0 Jan 06, 2022
A blender add-on that automatically re-aligns wrong axis objects.

Auto Align A blender add-on that automatically re-aligns wrong axis objects. Usage There are three options available in the 3D Viewport Sidebar It

29 Nov 25, 2022
The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight).

Curriculum by Smoothing (NeurIPS 2020) The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight). For any questions reg

PAIR Lab 36 Nov 23, 2022
Wenzhou-Kean University AI-LAB

AI-LAB This is Wenzhou-Kean University AI-LAB. Our research interests are in Computer Vision and Natural Language Processing. Computer Vision Please g

WKU AI-LAB 10 May 05, 2022
atmaCup #11 の Public 4th / Pricvate 5th Solution のリポジトリです。

#11 atmaCup 2021-07-09 ~ 2020-07-21 に行われた #11 [初心者歓迎! / 画像編] atmaCup のリポジトリです。結果は Public 4th / Private 5th でした。 フレームワークは PyTorch で、実装は pytorch-image-m

Tawara 12 Apr 07, 2022
PPLNN is a Primitive Library for Neural Network is a high-performance deep-learning inference engine for efficient AI inferencing

PPLNN is a Primitive Library for Neural Network is a high-performance deep-learning inference engine for efficient AI inferencing

943 Jan 07, 2023
PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

Sharpness-aware Quantization for Deep Neural Networks Recent Update 2021.11.23: We release the source code of SAQ. Setup the environments Clone the re

Zhuang AI Group 30 Dec 19, 2022