RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.

full installation and usage instructions given at
http://sourceforge.net/p/rnnl/wiki/Home/

Features

  • LSTM
  • Multidimensional recurrent neural networks
  • Connectionist temporal classification
  • Adaptive weight noise (stochastic variational inference)

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow RNNLIB

RNNLIB Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
1
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5

User Reviews

  • Train LSTMs quickly on the CPU!
  • doc is incomplete, and there are a lot of problems such as can not get the predict labels and use the trained model to predict....
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Information Technology, Science/Research

User Interface

Command-line

Programming Language

C++, Python

Related Categories

Python Artificial Intelligence Software, Python Speech Software, Python Handwriting Recognition Software, Python Neural Network Libraries, C++ Artificial Intelligence Software, C++ Speech Software, C++ Handwriting Recognition Software, C++ Neural Network Libraries

Registered

2010-07-18