Open-Awesome
CategoriesAlternativesStacksSelf-HostedExplore
Open-Awesome

© 2026 Open-Awesome. Curated for the developer elite.

TermsPrivacyAboutGitHubRSS
  1. Home
  2. Core ML Models
  3. iLID

iLID

MITPython

A deep learning system for automatic spoken language identification from audio files using TensorFlow and Caffe.

GitHubGitHub
90 stars24 forks0 contributors

Overview

automatic spoken language identification

Quick Stats

Stars90
Forks24
Contributors0
Open Issues6
Last commit7 years ago
CreatedSince 2015

Tags

#spark#deep-learning#neural-networks#multilingual#speech-recognition#caffe#tensorflow#audio-processing

Built With

T
TensorFlow
O
OpenCV
S
SPARK
P
Python
C
Caffe

Included in

Core ML Models7.0k
Auto-fetched 16 hours ago

Related Projects

TensorFlow Slim ModelsTensorFlow Slim Models

Models and examples built with TensorFlow

Stars77,677
Forks44,946
Last commit22 hours ago
TensorFlow ModelsTensorFlow Models

Models and examples built with TensorFlow

Stars77,677
Forks44,946
Last commit22 hours ago
Caffe Model ZooCaffe Model Zoo

Caffe: a fast open framework for deep learning.

Stars34,576
Forks18,448
Last commit2 years ago
ColorizationColorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Stars3,458
Forks923
Last commit2 years ago
Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a projectStar on GitHub