Acoustic mosquito detection code with Bayesian Neural Networks

Last update: Nov 28, 2022

Overview

HumBugDB

Acoustic mosquito detection with Bayesian Neural Networks.

Extract audio or features from our large-scale dataset on Zenodo.
This repository outlines two key example use cases for the data:
- Task 1: Mosquito Event Detection (MED)
- Task 2: Mosquito Species Classification (MSC)

General use instructions

This code is complementary to the paper: "HumBugDB: a large-scale acoustic mosquito dataset" and the dataset on Zenodo.

See documentation in the paper supplement for:

Section A: Licensing
Section B: Code use, feature and model engineering
Section C: Description and visualisations of metadata in data/metadata/*.csv

Additional documentation for:

Code, feature, hyperparameter configuration

Installation instructions

You may choose to use the Colab environment which is natively compatible with all of our code. Alternatively, see the instructions for manually configuring an environment to run the Jupyter notebooks.

Google Colab

Installation and use with Google Colab here.

Jupyter notebook

Installation instructions and requirements for PyTorch: InstallationLogPyTorch.txt.
Keras min. requirements: condarequirementsKeras.txt and piprequirementsKeras.txt. Compatible with Tensorflow 1.X and 2.X.

After installation of requirements:

git clone https://github.com/HumBug-Mosquito/HumBugDB.git

Extract audio from four-part-archive to Zenodo to /data/audio/.

Contact

Developed by Ivan Kiskin of MLRG University of Oxford. Contact [email protected] for enquiries or suggestions. Follow our Twitter on @OxHumBug and visit our HumBug website for updates on the overall HumBug project.

Bayesian Neural Networks in PyTorch

We present the new scheme to compute Monte Carlo estimator in Bayesian VI settings with almost no memory cost in GPU, regardles of the number of sampl

7 May 3, 2022

Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks

1 Jan 1, 2022

Complex-Valued Neural Networks (CVNN)Complex-Valued Neural Networks (CVNN)

Complex-Valued Neural Networks (CVNN) Done by @NEGU93 - J. Agustin Barrachina Using this library, the only difference with a Tensorflow code is that y

1 Nov 12, 2021

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

2.2k Jan 3, 2023

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

The Neural Process Family This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CN

892 Dec 28, 2022

Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks This repository contains the code that accompanies our CVPR 20

161 Dec 20, 2022

Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

Dangers of Bayesian Model Averaging under Covariate Shift This repository contains the code to reproduce the experiments in the paper Dangers of Bayes

25 Sep 21, 2022

Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

ReLU-GP Residual (RGPR) This repository contains code for reproducing the following NeurIPS 2021 paper: @inproceedings{kristiadi2021infinite, title=

4 Dec 26, 2021

Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"

dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com

1 Dec 17, 2021

Releases(2.0)

2.0(Sep 1, 2021)
HumBugDB models

This release distributes the binaries for the Bayesian neural network models, to preserve the small size of the repository.

We include models trained for two tasks. The model objects and tasks are described at:

MED: Mosquito Event detection

MSC: Mosquito Species classification

The models correspond to all of the results reported in the paper HumBugDB: A Large-scale Acoustic Mosquito Dataset.
Source code(tar.gz)
Source code(zip)
MED_trained_models.zip(608.00 MB)
MSC_trained_models_1.zip(1280.73 MB)
MSC_trained_models_2.zip(1736.36 MB)
v1.0(Jun 9, 2021)
This release distributes the binaries for the Bayesian neural network models, to preserve the small size of the repository. We include five trained models, to be placed in /outputs/models/keras/ or /outputs/models/pytorch/:

PyTorch BNN-ResNet-50 (paper version): neurips_2021_humbugdb_resnet50_bnn.pth

BNN-ResNet-18 (paper version): neurips_2021_humbugdb_resnet18_bnn.pth

Keras BNN-4conv (paper version): neurips_2021_humbugdb_keras_bnn.hdf5

Keras BNN-4conv (best version): neurips_2021_humbugdb_keras_bnn_best.hdf5

Keras BNN-4conv (for appendix Test B): neurips_2021_humbugdb_supplement_TestB_keras_bnn.hdf5

Source code(tar.gz)
Source code(zip)
neurips_2021_humbugdb_keras_bnn.hdf5(6.00 MB)
neurips_2021_humbugdb_keras_bnn_best.hdf5(5.98 MB)
neurips_2021_humbugdb_resnet18_bnn.pth(42.71 MB)
neurips_2021_humbugdb_resnet50_bnn.pth(89.99 MB)
neurips_2021_humbugdb_supplement_TestB_keras_bnn.hdf5(5.98 MB)

Owner

GitHub Repository

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment The official implementation of Arch-Net: Model Distillation for Architecture A

22 Jan 05, 2023

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models with efficie

5.3k Jan 03, 2023

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

GCN_LogsigRNN This repository holds the codebase for the paper: Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

7 Oct 14, 2022

Source code for "Pack Together: Entity and Relation Extraction with Levitated Marker"

PL-Marker Source code for Pack Together: Entity and Relation Extraction with Levitated Marker. Quick links Overview Setup Install Dependencies Data Pr

173 Dec 30, 2022

Deep Inside Convolutional Networks - This is a caffe implementation to visualize the learnt model

Deep Inside Convolutional Networks This is a caffe implementation to visualize the learnt model. Part of a class project at Georgia Tech Problem State

61 Apr 15, 2022

C3d-pytorch - Pytorch porting of C3D network, with Sports1M weights

C3D for pytorch This is a pytorch porting of the network presented in the paper Learning Spatiotemporal Features with 3D Convolutional Networks How to

311 Jan 06, 2023

A novel framework to automatically learn high-quality scanning of non-planar, complex anisotropic appearance.

appearance-scanner About This repository is an implementation of the neural network proposed in Free-form Scanning of Non-planar Appearance with Neura

14 Oct 18, 2022

Code for layerwise detection of linguistic anomaly paper (ACL 2021)

Layerwise Anomaly This repository contains the source code and data for our ACL 2021 paper: "How is BERT surprised? Layerwise detection of linguistic

6 Dec 07, 2022

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Diffusion Probabilistic Models This repository provides a reference implementation of the method described in the paper: Deep Unsupervised Learning us

238 Jan 02, 2023

AQP is a modular pipeline built to enable the comparison and testing of different quality metric configurations.

Audio Quality Platform - AQP An Open Modular Python Platform for Objective Speech and Audio Quality Metrics AQP is a highly modular pipeline designed

24 Oct 01, 2022

El-Gamal on Elliptic Curve (Python)

El-Gamal-on-EC El-Gamal on Elliptic Curve (Python) References: https://docsdrive.com/pdfs/ansinet/itj/2005/299-306.pdf https://arxiv.org/ftp/arxiv/pap

3 May 04, 2022

3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces (ICCV 2021)

3DIAS_Pytorch This repository contains the official code to reproduce the results from the paper: 3DIAS: 3D Shape Reconstruction with Implicit Algebra

21 Dec 12, 2022

Code for Environment Dynamics Decomposition (ED2).

ED2 Code for Environment Dynamics Decomposition (ED2). Installation Follow the installation in MBPO and Dreamer. Usage First follow the SD2 method for

0 Aug 10, 2021

An example project demonstrating how the Autonomous Learning Library can be used to build new reinforcement learning agents.

About This repository shows how Autonomous Learning Library can be used to build new reinforcement learning agents. In particular, it contains a model

5 Aug 30, 2022