jhartquist / Fastai_audio
Licence: apache-2.0
Stars: ✭ 178
Labels
Projects that are alternatives of or similar to Fastai audio
2017 Ccf Bdci Aijudge
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
Stars: ✭ 177 (-0.56%)
Mutual labels: jupyter-notebook
Deeplearninglifesciences
Example code from the book "Deep Learning for the Life Sciences"
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Python data science and machine learning bootcamp
Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Ocaml Jupyter
An OCaml kernel for Jupyter (IPython) notebook
Stars: ✭ 177 (-0.56%)
Mutual labels: jupyter-notebook
Tensorflow2 Docs Zh
TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版
Stars: ✭ 177 (-0.56%)
Mutual labels: jupyter-notebook
Code Of Learn Deep Learning With Pytorch
This is code of book "Learn Deep Learning with PyTorch"
Stars: ✭ 2,262 (+1170.79%)
Mutual labels: jupyter-notebook
Lstm anomaly thesis
Anomaly detection for temporal data using LSTMs
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Unet In Tensorflow
U-Net implementation in Tensorflow
Stars: ✭ 177 (-0.56%)
Mutual labels: jupyter-notebook
Lede Algorithms
Algorithms course materials for the Lede program at Columbia Journalism School
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Ethereum demo
This is the code for "Ethereum Explained" by Siraj Raval on Youtube
Stars: ✭ 177 (-0.56%)
Mutual labels: jupyter-notebook
Chess Surprise Analysis
Find surprising moves in chess games
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Super resolution with cnns and gans
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Stars: ✭ 176 (-1.12%)
Mutual labels: jupyter-notebook
Autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
Papergraph
AI/ML citation graph with postgres + graphql
Stars: ✭ 178 (+0%)
Mutual labels: jupyter-notebook
fastai_audio
This is an experimental and unofficial module add-on for the new fastai v1
library. It adds the capability of audio classification to fastai by loading raw audio files and generating spectrograms on the fly. Please check out the notebooks directory for usage examples.
The accompanying article can be found here: Audio Classification using FastAI and On-the-Fly Frequency Transforms
Related Links
Note:
The fastai
library is currently being developed rapidly, so this repo may quickly go out of date with new versions.
Dependencies
- python 3.6
- fastai 1.0.43
- librosa 0.6.2
This repo was also heavily inspired by torchaudio, especially transforms.py
.
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].