musicinformationretrieval/musicinformationretrieval.com is ranked 10,814 with 1,291 stars.
Same-category comparison
musicinformationretrieval/musicinformationretrieval.com is ranked 10,814 among these 8 peers; PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition is ranked 10,811.
A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics.
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
Jupyter Notebook
Category
Tutorials
Subcategory
Tool-specific tutorials
Keywords
Audio production, Music
Stars
1,291
Forks
416
Contributors
16
Created date
2014-05-09
Updated date
2026-10-11
Stars in 1 day
0
Stars in 7 days
2
Rank
10,814
Previous rank
10,791
Rank change
-23
7-day stars rank
8,122
Previous 7-day stars rank
8,175
7-day stars rank change
53
Total stars rank
9,142
Previous total stars rank
9,127
Total stars rank change
-15
README summary
stanford-mir ============ Instructional material for the Music Information Retrieval Workshop at CCRMA, Stanford University, 2014. **To register for the 2015 workshop, please click here. If you're a **visitor**, browse this repo at nbviewer. org which renders the notebooks in this repo so they can be viewed in a web browser. If you're a **workshop participant**, follow the steps below to get started with Git, Vagrant, and IPython. Install Git Git is a version control system. You will use Git to
retrieve the latest version of our IPython notebooks and to track changes that you make to these notebooks. Download Git, and install it on your local machine. Clone this repo onto your local machine: 3. Install Vagrant We use Vagrant to create a local virtual machine running Ubuntu 12. Vagrant ensures that every person has exactly the same development environment with the same installed packages. Vagrant is available for all major operating systems, including Windows, Mac OS X, and Linux
. Create a new virtual machine using our customized Vagrant box built upon Ubuntu 12. Finally, login to the new virtual machine: Troubleshooting Vagrant Problem: When on a Windows host machine, results in a timeout error: . Problem: The folder on the guest machine is empty. Start IPython A majority of our instruction and laboratory work will occur inside the IPython notebook. You can think of the IPython notebook like the Mathematica or Matlab desktop, except it's in Python and it runs
inside your web browser. In your Vagrant box, start the IPython notebook server: 2. Congratulations, you are now running an IPython notebook, and you can get started with the workshop material. Click on "Issues" in the right navigation bar, then "New Issue". Issues can include Python bugs, spelling mistakes, broken links, requests for new content, and more. For a prioritized list of open issues awaiting contribution, click on the blue "Ready" button above. Submit changes to source code or documentation
. Fork this repo, make edits, then submit a pull request.
Frequently asked questions
How many stars and forks are recorded?
musicinformationretrieval/musicinformationretrieval.com has 1,291 stars and 416 forks.
What is the repository rank?
musicinformationretrieval/musicinformationretrieval.com is ranked 10,814.
What language and category are recorded?
musicinformationretrieval/musicinformationretrieval.com has 1,291 stars, uses Jupyter Notebook and belongs to Tutorials.
Which repository is closest in rank?
musicinformationretrieval/musicinformationretrieval.com is compared with PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition, ranked 10,811 with 1,291 stars.
If you're a workshop participant, follow the steps below to get started with Git, Vagrant, and IPython.
Install Git
Git is a version control system. You will use Git to retrieve the latest version of our IPython notebooks and to track changes that you make to these notebooks.
Download Git, and install it on your local machine.
Create a branch called develop. You will make changes to this branch.
macbook:~$ cd stanford-mir
macbook:~/stanford-mir$ git branch develop
macbook:~/stanford-mir$ git checkout develop
Switched to branch 'develop'
Install Vagrant
We use Vagrant to create a local virtual machine running Ubuntu 12.04. Vagrant ensures that every person has exactly the same development environment with the same installed packages.
Vagrant is available for all major operating systems, including Windows, Mac OS X, and Linux. It's a breeze to install.
If this is your first time running vagrant up, this step may take five minutes to download the Vagrant box.
Finally, login to the new virtual machine:
macbook:~/stanford-mir$ vagrant ssh
This step logs you in to Ubuntu locally as user vagrant with default password vagrant.
Note: do not upgrade the virtual machine to Ubuntu 14.04 when prompted.
Note: outdated versions of Mac OS X may yield problems with vagrant ssh. To avoid such problems, please upgrade (for free) to the latest version of Mac OS X.
Troubleshooting Vagrant
Problem: When on a Windows host machine, vagrant ssh results in a timeout error: ssh_exchange_identification: read: Connection reset by peer.
Solution: Go into the BIOS, and make sure that Hardware Virtualization is enabled. For details, see this answer on Stack Overflow.
Problem: The folder stanford-mir on the guest machine is empty.
Solution: Vagrant probably failed to sync folders between the host and the guest machines. Try vagrant provision or vagrant reload from the host machine.
Start IPython
A majority of our instruction and laboratory work will occur inside the IPython notebook. You can think of the IPython notebook like the Mathematica or Matlab desktop, except it's in Python and it runs inside your web browser.
In your Vagrant box, start the IPython notebook server:
vagrant@stanford-mir:~$ ipython notebook
On your host machine, visit .
Open the notebook stanford-mir/Table_of_Contents.ipynb.
Congratulations, you are now running an IPython notebook, and you can get started with the workshop material.
Contributions
Your contributions are very welcome! You can contribute in two ways:
Submit an issue. Click on "Issues" in the right navigation bar, then "New Issue". Issues can include Python bugs, spelling mistakes, broken links, requests for new content, and more. For a prioritized list of open issues awaiting contribution, click on the blue "Ready" button above.