Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Descriptive Deep Learning
| Date | Stars |
|---|---|
| 2026-07-24 | 824 |
| 2026-07-25 | 824 |
| 2026-07-28 | 824 |
| 2026-07-30 | 824 |
| 2026-07-31 | 824 |
| 2026-08-08 | 824 |
| 2026-08-09 | 824 |
| 2026-08-16 | 824 |
| 2026-08-17 | 824 |
| 2026-08-18 | 824 |
| 2026-09-06 | 823 |
| 2026-09-20 | 823 |
Today
— stars today
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This month
-1 stars this month
Momentum
0.0
growth rate 0.00%/day
.. |LICENSE| image:: https://img.shields.io/badge/license-Apache%202-blue.svg :target: https://github.com/deepgram/kur/blob/master/LICENSE .. |PYTHON| image:: https://img.shields.io/badge/python-3.4%2C3.5%2C3.6-lightgrey.svg :target: https://kur.deepgram.com/installing.html .. |BUILD| image:: https://travis-ci.org/deepgram/kur.svg?branch=master :target: https://travis-ci.org/deepgram/kur .. |GITTER| image:: https://badges.gitter.im/deepgram-kur/Lobby.svg :target: https://gitter.im/deepgram-kur/Lobby .. _Facebook: https://www.facebook.com/sharer/sharer.php?u=https%3A//kur.deepgram.com .. _Google+: https://plus.google.com/share?url=https%3A//kur.deepgram.com .. _LinkedIn: https://www.linkedin.com/shareArticle?mini=true&url=https%3A//kur.deepgram.com&title=Kur%20-%20descriptive%20deep%20learning&summary=Kur%20is%20the%20future%20of%20deep%20learning%3A%20advanced%20AI%20without%20programming!&source= .. _Twitter: https://twitter.com/home?status=%40DeepgramAI%20has%20released%20the%20future%20of%20deep%20learning.%20https%3A//kur.deepgram.com%20%23Kur .. image:: https://kur.deepgram.com/images/logo-small.png :align: center :target: https://deepgram.com .. package_readme_starts_here .. _Tutorial: https://kur.deepgram.com/tutorial.html ****************************** Kur: Descriptive Deep Learning ****************************** .. package_readme_ignore |BUILD| |LICENSE| |PYTHON| |GITTER| Introduction ============ Welcome to Kur! You've found the future of deep learning! - Install Kur easily with ``pip install kur``. - Design, train, and evaluate models *without ever needing to code*. - Describe your model with easily understandable concepts. - Quickly explore better versions of your model with the power of the `Jinja2 <http://jinja.pocoo.org>`_ templating engine. - Supports Theano, TensorFlow, and PyTorch, and supports **multi-GPU** out-of-the-box. - **COMING SOON**: Share your models with the community, making it incredibly easy to collaborate on sophisticated models. Go ahead and give it a whirl: `Get the Code`_ and then jump into the `Examples`_! Then build your own model in our Tutorial_. Remember to check out our `homepage <https://kur.deepgram.com>`_ for complete documentation and the newest news. .. package_readme_ignore Like us? Share! .. package_readme_ignore - Facebook_ - `Google+`_ - LinkedIn_ - Twitter_ What is Kur? ------------ Kur is a system for quickly building and applying state-of-the-art deep learning models to new and exciting problems. Kur was designed to appeal to the entire machine learning community, from novices to veterans. It uses specification files that are simple to read and author, meaning that you can get started building sophisticated models *without ever needing to code*. Even so, Kur exposes a friendly and extensible API to support advanced deep learning architectures or workflows. Excited? Jump straight into the `Examples`_. .. _get_the_code: Get the Code ============ Kur is really easy to install! You can pick either one of these two options for installing Kur. **NOTE**: Kur requires **Python 3.4** or greater. Take a look at our `installation guide <https://kur.deepgram.com/install.html>`_ for step-by-step instructions for installing Kur and setting up a `virtual environment <https://virtualenv.pypa.io/>`_. Latest Pip Release ------------------ If you know what you are doing, then this is easy: .. code-block:: bash pip install kur Latest Development Release -------------------------- Just check it out and run the setup script: .. code-block:: bash git clone https://github.com/deepgram/kur cd kur pip install . **Quick Start**: Or, if you already have `Python 3 installed <https://kur.deepgram.com/installing.html>`_, then here's a few quick-start lines to get you training your first model: **Quick Start For Using pip:** .. code-block:: bash pip install virtualenv # Make sure virtualenv is present virtualenv -p $(which
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Navin Pai · R[o]b[o] Zombie Productions · India
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5075a38464ff01c3, topic:deep-learning, topic:neural-network
matched fp:5075a38464ff01c3, topic:speech-recognition, topic:speech-to-text