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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.
:factory: Collaboratively build, visualize, and design neural nets in browser
| Date | Stars |
|---|---|
| 2026-07-24 | 1133 |
| 2026-07-25 | 1133 |
| 2026-07-28 | 1133 |
| 2026-07-30 | 1133 |
| 2026-08-06 | 1133 |
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Momentum
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growth rate 0.00%/day
<img width="25%" src="/ide/static/img/logo.png" />
[](https://gitter.im/Cloud-CV/Fabrik?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
[](https://travis-ci.org/Cloud-CV/Fabrik)
[](https://coveralls.io/github/Cloud-CV/Fabrik?branch=master)
[](http://fabrik.readthedocs.io/en/latest/)
Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface. It allows researchers to collectively develop and debug models using a web GUI that supports importing, editing and exporting networks to popular frameworks like Caffe, Keras, and TensorFlow.
<img src="/example/fabrik_demo.gif?raw=true">
This app is presently under active development and we welcome contributions. Please check out our [issues thread](https://github.com/Cloud-CV/IDE/issues) to find things to work on, or ping us on [Gitter](https://gitter.im/Cloud-CV/IDE).
## Installation Instructions
Setting up Fabrik on your local machine is very easy. You can setup Fabrik using two methods:
### Using Docker
#### Docker Installation
If you haven't installed Docker already: </br>
To install Docker for Windows [click here](https://docs.docker.com/docker-for-windows/install/).
To install Docker for Mac [click here](https://docs.docker.com/docker-for-mac/install/).
#### Fabrik Installation
1. Get the source code on to your machine via git.
```
git clone https://github.com/Cloud-CV/Fabrik.git && cd Fabrik
```
2. Rename `settings/dev.sample.py` as `dev.py`.
```
cp settings/dev.sample.py settings/dev.py
```
3. Build and run the Docker containers. This might take a while. You should now be able to access Fabrik at <http://0.0.0.0:8000>.
```
docker-compose up --build
```
### Setup Authentication for Docker Environment
1. Go to Github Developer Applications and create a new application. [here](https://github.com/settings/developers)
2. For local deployments,the following should be used in the options:
* Application name: Fabrik
* Homepage URL: http://0.0.0.0:8000
* Application description: Fabrik
* Authorization callback URL: http://0.0.0.0:8000/accounts/github/login/callback/
3. Github will provide you with a Client ID and a Secret Key. Save these.
4. Create a superuser in django service of docker container
```
docker-compose run django python manage.py createsuperuser
```
Note: Before creating the superuser, make sure that django service of docker image is running. This can be done by executing ``` docker-compose up ``` followed by ``` Ctrl + C ``` to save docker configuration.
5. Open http://0.0.0.0:8000/admin and login with the credentials from step 4.
6. Setting up Social Accounts in django admin
* Under ``` Social Accounts ```, open ``` Social applications ``` and click on ``` Add Social Application ```.
* Choose the ``` Provider ``` of social application as ``` Github ``` and name it ``` Github ```.
* Add the sites available to the right side, so github is allowed for the current site.
* Copy and paste your ``` Client ID ``` and ``` Secret Key ``` into the apppropriate fields and Save.
7. Go to ``` Sites ``` tab and update the ``` Domain name ``` to ``` 0.0.0.0:8000 ```.
### Using Virtual Environment
1. First set up a virtualenv. Fabrik runs on Python2.7.
```
sudo apt-get install python-pip python-dev python-virtualenv
virtualenv --system-site-packages ~/Fabrik --python=python2.7
source ~/Fabrik/bin/activate
```
2. Clone the repository via git
```
git clone --recursive https://github.com/Cloud-CV/FaExcerpt of 12,965 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6fe91c5fa19823c9, topic:neural-network, topic:tensorflow