The repository contains software and a neural network model specifically developed for the MineGuard project
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Updated
May 29, 2024 - Python
The repository contains software and a neural network model specifically developed for the MineGuard project
Environment Sound Classification with Deep Learning using Hardware Aware - Neural Architecture Search
Simple guide to audio files and what you should use where.
In assisting with ongoing studies of sound therapy, this ongoing project assists scientists, researchers, and cereset practitioners in research related to sound and frequency by converting everyday sounds and music to their desired hertz.
Democratizing Artificial Intelligence
🚤 Label data at scale. Fun and precision included.
An official implementation for SSAMBA: Self-Supervised Audio Mamba
A summary of python tasks made for my thesis project @ AAU
Project to classify wav audio files using a CNN.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Deep Learning models are used for audio emotion classification for six classes (happy, sad, angry, disgusted, fearful, and neutral) and uses parallel computing to speed up preprocessing and feature extraction.
transform your music creation with AI
The goal of this project is to classify audio using a neural network
The official implementation of DMEL the method presented in the paper "DMEL: The differentiable log-Mel spectrogram as a trainable layer in neural networks".
A deep learning project for audio classification of different species of birds.
Simple audio transcription module
Here is our main codebase for fine-tuning transformers for AD classification and MMSE regression.
Unofficial (Golang) Go bindings for the Hugging Face Inference API
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
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