GitLab is open source software to collaborate on code (a GitHub clone to run on your own server). Clicking a blob (a file in a repository) in GitLab shows a nice rendering if GitLab supports the file type (e.g., images, Markdown documents), or its content as plain text otherwise. The patch described here adds support to GitLab for rendering IPython notebooks (.ipynb files).
The popular open-source contract for web professionals by Stuff & Nonsense
- Originally published: 23rd December 2008
- Revised date: March 15th 2016
- Original post
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| 1324/1324 [==============================] - 1s - loss: 0.0045 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k_cate | |
| gorical_accuracy: 1.0000 - mean_absolute_error: 9.8899e-04 - mean_squared_error: 1.9106e-05 - val_loss: 0.0102 - val_acc | |
| : 1.0000 - val_categorical_accuracy: 1.0000 - val_top_k_categorical_accuracy: 1.0000 - val_mean_absolute_error: 0.0020 - | |
| val_mean_squared_error: 3.0197e-04 | |
| Epoch 20/50 | |
| 128/1324 [=>............................] - ETA: 0s - loss: 0.0035 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k | |
| 384/1324 [=======>......................] - ETA: 0s - loss: 0.0037 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k | |
| 640/1324 [=============>................] - ETA: 0s - loss: 0.0042 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k | |
| 896/1324 [===================>..........] - ETA: 0s - loss: 0.0041 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k | |
| 1152/1324 [=========================>....] - ETA: 0s - loss: 0.0040 - acc: 1.0000 - categorical_accuracy: 1.0000 - top_k |
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| # TODO: Verify to link statically some dependencies usually not available in a default instllation of RHEL/CentOS (ex.: libxcb) | |
| ################### | |
| ## Configuration ## | |
| ################### | |
| export FFMPEG_CPU_COUNT=$(nproc) | |
| export FFMPEG_ENABLE="--enable-gpl --enable-version3 --enable-nonfree --enable-runtime-cpudetect --enable-gray --enable-openssl --enable-libfreetype" | |
| export FFMPEG_HOME=/usr/local/src/ffmpeg |
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| # | |
| # Original solution via StackOverflow: | |
| # http://stackoverflow.com/questions/35802939/install-only-available-packages-using-conda-install-yes-file-requirements-t | |
| # | |
| # | |
| # Install via `conda` directly. | |
| # This will fail to install all | |
| # dependencies. If one fails, | |
| # all dependencies will fail to install. |