Lasagne: light weighted Theano extension, Theano can be used explicitly
Keras: is a minimalist, highly modular neural network library in the spirit of Torch, written in Python, that uses Theano under the hood for fast tensor manipulation on GPU and CPU. It was developed with a focus on enabling fast experimentation.
Pylean2: wrapper for Theano, yaml, experimental oriented.
Caffe: CNN oriented deep learning framework using c++, with python wrapper, easy model definitions using prototxt.
Theano: general gpu math
nolearn: a probably even simpler one
you can find more here.
For Lasagne and nolearn, they are still in the rapid develop stage, so they changes a lot. Be careful with the versions installed, they need to match each other. If you are having problems such as “cost must be a scalar”, you can refer link here to solve it by uninstall and reinstall them.
pip uninstall Lasagne pip uninstall nolearn pip install -r https://raw.githubusercontent.com/dnouri/kfkd-tutorial/master/requirements.txt
Original post: https://coderwall.com/p/ohk6cg/remote-access-to-ipython-notebooks-via-ssh
remote$ipython notebook --no-browser --port=8889
local$ssh -N -f -L localhost:8888:localhost:8889 remote_user@remote_host
To close the SSH tunnel on the local machine, look for the process and kill it manually:
local_user@local_host$ ps aux | grep localhost:8889 local_user 18418 0.0 0.0 41488 684 ? Ss 17:27 0:00 ssh -N -f -L localhost:8888:localhost:8889 remote_user@remote_host local_user 18424 0.0 0.0 11572 932 pts/6 S+ 17:27 0:00 grep localhost:8889 local_user@local_host$ kill -15 18418
Alternatively, you can start the tunnel without the -f option. The process will then remain in the foreground and can be killed with ctrl-c.
On the remote machine, kill the IPython server with ctrl-c ctrl-c.
Note: If you are running GPU & Theano on your remote machine, you can launch the notebook by:
THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 ipython notebook –no-browser –port=8889
Another simple way is to do the following (adding ip=*):
# In the remote server
$ THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 ipython notebook –no-browser –ip=* –port=7777
then you can reach the notebook from http:// the-ip-address-of-your-remote-server:7777/
OK, here’s the simplest way/setting for Django. I am using mac, but it should be similar for other linux.
First. Installing an official release.
- Download the latest release from download page.
- Untar the downloaded file (e.g. tar xzvf Django-X.Y.tar.gz, where X.Y is the version number of the latest release).
- Change into the directory created in step 2 (e.g. cd Django-X.Y).
- If you’re using Linux, Mac OS X or some other flavor of Unix, enter the command sudo python setup.py install at the shell prompt.
After install it, run python in the command line, and check:
Second, is to Configure your database and create your first app.
From the command line, cd into a directory where you’d like to store your code, then run the following command:
django-admin.py startproject mysite
mysite/ manage.py mysite/ __init__.py settings.py urls.py wsgi.py
Now run the server by doing:
python manage.py runserver.
You will see somthing like this in your terminal:
Validating models... 0 errors found.Django version 1.4, using settings 'mysite.settings' Development server is running at http://127.0.0.1:8000/ Quit the server with CONTROL-C.
When using Apache + python-cgi, I encounter this error:
<type ‘exceptions.RuntimeError’>: Failed to create /$dirstring$/common/.matplotlib; consider setting MPLCONFIGDIR to a writable directory for matplotlib configuration data
An official explanation of MPLCONFIGDIR is here.
MPLCONFIGDIR This is the directory used to store user customizations to matplotlib, as well as some caches to improve performance. If MPLCONFIGDIR is not defined, HOME/.matplotlib is used by default.
It turns out that on my windows machine HOME/.matplotlib is now writable. Here’s a way to simply bypass this problem.
Find out the place where you first import matplotlib, right before it, set the $HOME dir to a temporary dir where it’s writable:
For example, I was importing matplotlib in an indirect way through “from scipy.cluster.vq import kmeans2“, so right before it, do
os.environ[‘HOME’] = r’C:\……\Apache2.2\htdocs\tmp’
from scipy.cluster.vq import kmeans2
To Set Up a Server on my mac.
- Goto Preference: Sharing, Check the Sharing View
- Now the apache is running, to do a test: put: localhost in your browser, you will see “it works!”
- When you check the box for Sharing View, you will be notified that there are two different websites are now available on your computer
- 1. Personal Website: http://you-computer-name/~youraccountname
- The Sites folder in in your home folder : ~/Documents/Sites
- 2. Computer Website: http://your-computer-name/
- The Site Folder in <Library/WebServer/>
- There are 3 subfolders under this folder: a) CGI-Executable; b) Documents; c) Share
- You should put your executables in this folder, such as the below python code:
print “Content-type: text/html”
print “Test Page”
Name it as ‘test.py’, and in the terminal change it to
$ sudo chmod 755 test.py
Now you can run it by : http://localhost/cgi-bin/test.py
Here’s a useful link: http://www.editrocket.com/articles/python_apache_mac.html
Also here’s how to share a folder: http://www.macworld.com/article/1140370/pythonserver.html
In Terminal, first cd to the folder you’d like to make available via the Web server. For example, cd ~/Pictures to switch to your user’s Pictures folder. Next, you activate Python’s built-in Web server with this command: python -m SimpleHTTPServer (and yes, capitalization counts). Press Return, and you’ll see a message stating Serving HTTP on 0.0.0.0 port 8000 .... The important bit there is the port number (8000). (You can use a different port number by simply including it at the end of the command, like so: python -m SimpleHTTPServer 8080.) To access the server from the machine you’re running the Python server on, switch to a Web browser, and enter http://localhost:8000 (replace 8000 with the port you used, if you didn’t use the defaut) in the URL bar. When you press Return, you’ll see a listing of all files in the directory. Depending on what types of files are there, and which browser you’re using, you can then click on files to view them in the browser. In my testing, Firefox works better than Safari, as Safari wants to download file types it doesn’t know how to handle while Firefox will often let you open them with a helper application. To access the server from another machine on your network, you need to know the server computer’s name. You can find this in the Sharing System Preferences panel, in the aptly-named Computer Name section of the panel. Just below the computer’s actual name, you’ll see a line that begins Computers on your local network can access…, followed by the name they’ll need to use to do so. Typically, this is simply the Computer Name followed by .local—so if the machine’s name is OctoMac, for instance, you can then access the server by entering http://OctoMac.local:8000 in your browser’s URL bar.
I had tried several versions of install opencv on my mac that can be used in python.
Here are lessons — use the python provided by MacOS, you may have the following problem if you are using other versions.
– Use python by MacOS, which you should be able to finda and locate, e.g. the link /usr/bin/python (my version is Python 2.7)
I found that I can not use the python I installed somewhere else, such as </Library/Frameworks/Python.framework/Versions/2.7/>
– I used the brew to install opencv:
$sudo brew install opencv
It enventually install it to </usr/local/Cellar/opencv/2.3.1a>
– Next step, you need to add the path </usr/local/Cellar/opencv/2.3.1a/lib/python2.7/site-packages> to your PYTHONPATH
If you check the sit-packages folder, it should include two files: cv.py and cv2.so
So, change your ~/.profile to include the following line:
Otherwise, whenever you would like to import the cv, you will have to first include the path in your python code, something like this:
Now, time to do the test:
I couldn’t find the example folder of python by the package installed by brew.
So I went ahead and use the previous download one, which is a full package opencv:
$ls ~/Documents/OpenCV-2.3.1/samples/python (where you will be able to find the delaunay.py file, then go ahead to run it)
$ python ~/Documents/OpenCV-2.3.1/samples/python/delaunay.py
Nice , now it’s running, finally 🙂
For detailed information, please check the below link:
2. Configure Apache to run Python CGI
The next step is to edit ‘httpd.conf’ apache configuration file located in the apache install directory in the conf directory. Search the httpd.conf file for the line
Options Indexes FollowSymLinks
Add ExecCGI to the end of the line. The line should now look similar to the following (NOTE: there may be more options listed):
Options Indexes FollowSymLinks ExecCGI
Next, search for the following:
#AddHandler cgi-script .cgi
Uncomment this line by removing the # in front of the line, and add a .py to the end of the line. The new line should look like this:
AddHandler cgi-script .cgi .py
3. Restart Apache
Now, the apache web server needs to be restarted. You can do this either via the Apache service located in the services control panel or via the Start -> All Programs -> Apache . . . -> Control Apache Server menu option.
4. Run a test Python page
You can use the EditRocket hello world Python sample web page template for a test Python page. This is located in File -> New From Template -> python -> Sample_Web_Page. The following is an example of the template:
print “Content-type: text/html”
Note the line #!/usr/bin/python. This line needs changed to match the location of your Python installation. For example,
Here is an example assuming Python is installed in the C:\Python27 location
print “Content-type: text/html”
Save this file as test.py to your htdocs folder under your apache installation directory. Open your web browser and type in your apache host (and :port if the port is something other than 80) followed by test.py, for example