| # CHEAT SHEET | |
| # https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf | |
| # Get a list of all my environments, active environment is shown with * | |
| conda env list | |
| # Create an environment with Python | |
| conda create --name py39 python=3.9 ipykernel | |
| # Add environment to Jupyter |
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
| dataset | meta data | contents | with audio |
|---|---|---|---|
| 200DrumMachines | 7371 one-shots | yes | |
| AAM | onsets, pitches, instruments, melody instrument, keys, chords, tempo, beats | 3000 (artificial) tracks | yes |
| ACM_MIRUM | tempo | 1410 excerpts (60s) | yes |
| ACPAS | aligned audio and scores | 2189 performances of 497 scores | downloadable |
| AcousticBrainz-Genre | 15-31 genres with 265-745 subgenres | audio features for ove |
Enter this in the search box along with your search terms:
Get all gists from the user santisbon.
user:santisbon
Find all gists with a .yml extension.
extension:yml
Find all gists with HTML files.
language:html
| """ | |
| Author: Awni Hannun | |
| This is an example CTC decoder written in Python. The code is | |
| intended to be a simple example and is not designed to be | |
| especially efficient. | |
| The algorithm is a prefix beam search for a model trained | |
| with the CTC loss function. |
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.