magenta
Magenta: Music and Art Generation with Machine Intelligence
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- README.md
- __init__.py
- beam_search.py
- beam_search_test.py
- concurrency.py
- concurrency_test.py
- nade.py
- nade_test.py
- sequence_example_lib.py
- state_util.py
- state_util_test.py
- testing_lib.py
- tf_utils.py
- __init__.py
- cudnn_rnn.py
- rnn.py
- rnn_test.py
- seq2seq.py
- seq2seq_test.py
- training.py
- __init__.py
- magenta_midi.py
- midi.png
- midi_clock.py
- midi_hub.py
- midi_hub_test.py
- midi_interaction.py
- README.md
- __init__.py
- README.md
- colva_beach_sq.jpg
- eiffel_tower.jpg
- golden_gate_sq.jpg
- README.md
- statue_of_liberty_sq.jpg
- black_zigzag.jpg
- bricks_sq.jpg
- Camille_Mauclair.jpg
- clouds-over-bor-1940_sq.jpg
- La_forma.jpg
- piano-keyboard-sketch_sq.jpg
- pink_zigzag.jpg
- README.md
- red_texture_sq.jpg
- Theo_van_Doesburg_sq.jpg
- towers_1916_sq.jpg
- zigzag_colorful.jpg
- eiffel_tower_stylized_cobwebbed_0044_0.jpg
- eiffel_tower_stylized_cobwebbed_0053_0.jpg
- eiffel_tower_stylized_cobwebbed_0057_0.jpg
- eiffel_tower_stylized_cobwebbed_0059_0.jpg
- eiffel_tower_stylized_cobwebbed_0116_0.jpg
- eiffel_tower_stylized_cobwebbed_0129_0.jpg
- colva_beach_stylized_black_zigzag_0.jpg
- colva_beach_stylized_clouds-over-bor-1940_0.jpg
- colva_beach_stylized_piano-keyboard-sketch_0.jpg
- colva_beach_stylized_red_texture_0.jpg
- colva_beach_stylized_towers_1916_0.jpg
- golden_gate_stylized_12_0.jpg
- golden_gate_stylized_13_0.jpg
- golden_gate_stylized_2_0.jpg
- golden_gate_stylized_3_0.jpg
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- golden_gate_stylized_black_zigzag_0.jpg
- golden_gate_stylized_clouds-over-bor-1940_0.jpg
- golden_gate_stylized_piano-keyboard-sketch_0.jpg
- golden_gate_stylized_red_texture_0.jpg
- golden_gate_stylized_towers_1916_0.jpg
- colva_beach_stylized_bricks_0.jpg
- colva_beach_stylized_bricks_1.jpg
- colva_beach_stylized_bricks_2.jpg
- colva_beach_stylized_bricks_3.jpg
- colva_beach_stylized_bricks_4.jpg
- colva_beach_stylized_bricks_5.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_0.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_1.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_2.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_3.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_4.jpg
- statue_of_liberty_stylized_Theo_van_Doesburg_5.jpg
- white.jpg
- __init__.py
- arbitrary_image_stylization_build_mobilenet_model.py
- arbitrary_image_stylization_build_model.py
- arbitrary_image_stylization_convert_tflite.py
- arbitrary_image_stylization_distill_mobilenet.py
- arbitrary_image_stylization_evaluate.py
- arbitrary_image_stylization_losses.py
- arbitrary_image_stylization_train.py
- arbitrary_image_stylization_train_mobile.py
- arbitrary_image_stylization_with_weights.py
- export_hub.py
- nza_model.py
- README.md
- generated_result.npy
- TestData.npz
- __init__.py
- coconet_evaluate.py
- coconet_sample.py
- coconet_train.py
- evalmodel_bazel.sh
- evalsample_bazel.sh
- export_saved_model.py
- export_saved_model_test.py
- lib_data.py
- lib_evaluation.py
- lib_graph.py
- lib_hparams.py
- lib_logging.py
- lib_mask.py
- lib_pianoroll.py
- lib_sampling.py
- lib_saved_model.py
- lib_tfsampling.py
- lib_tfutil.py
- lib_util.py
- README.md
- sample_bazel.sh
- train_bazel.sh
- __init__.py
- drums_rnn_config_flags.py
- drums_rnn_create_dataset.py
- drums_rnn_create_dataset_test.py
- drums_rnn_generate.py
- drums_rnn_model.py
- drums_rnn_pipeline.py
- drums_rnn_sequence_generator.py
- drums_rnn_train.py
- README.md
- __init__.py
- mel_prog_hires.py
- __init__.py
- data_helpers.py
- data_normalizer.py
- datasets.py
- flags.py
- generate_util.py
- layers.py
- model.py
- network_functions.py
- networks.py
- specgrams_helper.py
- specgrams_helper_test.py
- spectral_ops.py
- spectral_ops_test.py
- train_util.py
- util.py
- __init__.py
- gansynth_generate.py
- gansynth_train.py
- README.md
- benjamin_harrison.jpg
- coast_guard_boat.jpg
- doug_eck.jpg
- guerrillero_heroico.jpg
- picabo_lava.jpg
- benchmark.png
- __init__.py
- image_stylization_convert_tflite.py
- image_stylization_create_dataset.py
- image_stylization_evaluate.py
- image_stylization_finetune.py
- image_stylization_train.py
- image_stylization_transform.py
- image_utils.py
- imagenet_data.py
- learning.py
- model.py
- ops.py
- README.md
- vgg.py
- __init__.py
- improv_rnn_config_flags.py
- improv_rnn_create_dataset.py
- improv_rnn_create_dataset_test.py
- improv_rnn_generate.py
- improv_rnn_model.py
- improv_rnn_pipeline.py
- improv_rnn_sequence_generator.py
- improv_rnn_train.py
- README.md
- __init__.py
- fashion_mnist_0_nlatent100.py
- fashion_mnist_0_nlatent64.py
- fashion_mnist_classifier_0.py
- joint_exp_2fashion_parameterized.py
- joint_exp_2mnist_parameterized.py
- joint_exp_mnist100_2wavegan_parameterized.py
- joint_exp_mnist2fashion_parameterized.py
- joint_exp_mnist2wavegan_parameterized.py
- mnist_0_nlatent100.py
- mnist_0_nlatent64.py
- mnist_classifier_0.py
- wavegan.py
- __init__.py
- common.py
- common_joint.py
- encode_dataspace.py
- interpolate_joint.py
- local_mnist.py
- model_dataspace.py
- model_joint.py
- nn.py
- sample_dataspace.py
- sample_wavegan.py
- train_dataspace.py
- train_dataspace_classifier.py
- train_joint.py
- __init__.py
- melody_rnn_config_flags.py
- melody_rnn_create_dataset.py
- melody_rnn_create_dataset_test.py
- melody_rnn_generate.py
- melody_rnn_model.py
- melody_rnn_pipeline.py
- melody_rnn_sequence_generator.py
- melody_rnn_train.py
- primer.mid
- README.md
- README.md
- __init__.py
- base_model.py
- configs.py
- data.py
- data_hierarchical.py
- data_hierarchical_test.py
- data_test.py
- lstm_models.py
- lstm_utils.py
- lstm_utils_test.py
- music_vae_generate.py
- music_vae_train.py
- preprocess_tfrecord.py
- README.md
- trained_model.py
- __init__.py
- nfft_1024.py
- __init__.py
- ae.py
- __init__.py
- save_embeddings.py
- train.py
- __init__.py
- fastgen.py
- fastgen_test.py
- h512_bo16.py
- masked.py
- nsynth_generate.py
- nsynth_save_embeddings.py
- train.py
- __init__.py
- reader.py
- README.md
- utils.py
- __init__.py
- audio_recorder.py
- onsets_frames_transcription_realtime.py
- README.md
- tflite_model.py
- __init__.py
- audio_label_data_utils.py
- audio_label_data_utils_test.py
- audio_transform.py
- configs.py
- constants.py
- create_dataset.py
- create_dataset_lib.py
- create_dataset_lib_test.py
- data.py
- data_test.py
- drum_mappings.py
- estimator_spec_util.py
- infer.py
- infer_util.py
- infer_util_test.py
- melspec_input.py
- melspec_input_test.py
- metrics.py
- mfcc_mel.py
- mfcc_mel_test.py
- model.py
- model_tpu.py
- onsets_frames_transcription_create_dataset.py
- onsets_frames_transcription_create_dataset_maps.py
- onsets_frames_transcription_create_tfrecords.py
- onsets_frames_transcription_infer.py
- onsets_frames_transcription_spectrogram_json.py
- onsets_frames_transcription_train.py
- onsets_frames_transcription_transcribe.py
- README.md
- train_util.py
- __init__.py
- performance_model.py
- performance_rnn_create_dataset.py
- performance_rnn_create_dataset_test.py
- performance_rnn_generate.py
- performance_rnn_train.py
- performance_sequence_generator.py
- README.md
- __init__.py
- configs.py
- eval.py
- gold.py
- loader.py
- model.py
- README.md
- train.py
- util.py
- __init__.py
- pianoroll_rnn_nade_create_dataset.py
- pianoroll_rnn_nade_create_dataset_test.py
- pianoroll_rnn_nade_generate.py
- pianoroll_rnn_nade_graph.py
- pianoroll_rnn_nade_model.py
- pianoroll_rnn_nade_sequence_generator.py
- pianoroll_rnn_nade_train.py
- README.md
- __init__.py
- polyphony_encoder_decoder.py
- polyphony_encoder_decoder_test.py
- polyphony_lib.py
- polyphony_lib_test.py
- polyphony_model.py
- polyphony_rnn_create_dataset.py
- polyphony_rnn_create_dataset_test.py
- polyphony_rnn_generate.py
- polyphony_rnn_pipeline.py
- polyphony_rnn_train.py
- polyphony_sequence_generator.py
- README.md
- __init__.py
- note_rnn_loader.py
- README.md
- rl_tuner.py
- rl_tuner_eval_metrics.py
- rl_tuner_ops.py
- rl_tuner_test.py
- rl_tuner_train.py
- __init__.py
- datagen_beam.py
- datagen_beam_test.py
- modalities.py
- modalities_test.py
- music_encoders.py
- music_encoders_test.py
- README.md
- score2perf.py
- score2perf_hparams.py
- transformer_autoencoder.py
- __init__.py
- events_rnn_graph.py
- events_rnn_graph_test.py
- events_rnn_model.py
- events_rnn_train.py
- model.py
- sequence_generator.py
- sequence_generator_bundle.py
- sequence_generator_test.py
- catbus.svg
- data_format.svg
- sketch_rnn_examples.svg
- sketch_rnn_schematic.svg
- __init__.py
- model.py
- README.md
- rnn.py
- sketch_rnn_train.py
- utils.py
- __init__.py
- datagen_beam.py
- glyphazzn.py
- image_vae.py
- README.md
- svg_decoder.py
- svg_decoder_loss.py
- svg_utils.py
- __init__.py
- README.md
- __init__.py
- __init__.py
- chord_pipelines.py
- chord_pipelines_test.py
- dag_pipeline.py
- dag_pipeline_test.py
- drum_pipelines.py
- drum_pipelines_test.py
- event_sequence_pipeline.py
- lead_sheet_pipelines.py
- lead_sheet_pipelines_test.py
- melody_pipelines.py
- melody_pipelines_test.py
- note_sequence_pipelines.py
- note_sequence_pipelines_test.py
- performance_pipeline.py
- performance_pipeline_test.py
- pianoroll_pipeline.py
- pianoroll_pipeline_test.py
- pipeline.py
- pipeline_test.py
- pipelines_common.py
- pipelines_common_test.py
- README.md
- statistics.py
- statistics_test.py
- image00.gif
- image01.png
- image02.png
- image03.png
- image04.png
- image05.png
- image06.png
- image07.png
- image08.png
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- image11.png
- image12.png
- image13.png
- image14.png
- attention_interpolation.png
- attention_parameterization.png
- color-preserving-ny.jpg
- diagram.png
- generation.gif
- get_bias.png
- get_hidden.png
- gibbs.png
- grad_loss.png
- mnist_generation.png
- Nottingham_Piano_Roll.png
- pixelrnn_figure6.png
- pixelrnn_full_context.png
- pixelrnn_masks_A.png
- pixelrnn_masks_B.png
- pixelrnn_masks_highlevel.png
- Pop_Music_Piano_Roll.png
- RNN_RBM_Piano_Roll.png
- RNN_RBM_Piano_Roll_2.png
- rnnrbm_color.png
- rnnrbm_figure.png
- svhn_generation.png
- tubingen-starry-night.jpg
- draw.md
- GAN.md
- pixelrnn.md
- README.md
- rnnrbm.md
- styletransfer.md
- summary_generation_sequences.md
- __init__.py
- abc_compare.py
- convert_dir_to_note_sequences.py
- convert_dir_to_note_sequences_test.py
- README.md
- unpack_bundle.py
- __init__.py
- models.py
- problems.py
- problems_datagen.py
- t2t_datagen.py
- t2t_decoder.py
- t2t_trainer.py
- example.mid
- example_nsynth_audio.npy
- tfrecord_iterator_test.tfrecord
- magenta-install.sh
- create_video.sh
- join_pairs.py
- README.md
- recursion_640.sh
- __init__.py
- concat_mp4.sh
- convert2jpg.py
- create_mp4.sh
- extract_frames.py
- extract_multiple_video.sh
- random_pick.py
- __init__.py
- __init__.py
- version.py
- .gitignore
- .isort.cfg
- .pylintrc
- AUTHORS
- conftest.py
- LICENSE
- magenta-logo-bg.png
- README.md
- setup.cfg
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/magenta/magenta
Downloads the entire project code from GitHub to your computer.
cd magenta
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
- APT (Debian/Ubuntu κ³μ΄) Built into Debian/Ubuntu-based Linux distributions.
pip install magenta
Installs the package published on PyPI directly β no need to clone the source.
sudo apt-get install build-essential libasound2-dev libjack-dev portaudio19-dev
Installs directly from the APT package repository (Debian/Ubuntu-based).
pip install .
Installs the package published on PyPI directly β no need to clone the source.
pip install pytest-pylint
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install magenta
Installs the package published on PyPI directly β no need to clone the source.
pip install -e .
Installs the Python libraries listed in requirements.txt (or similar).
pip install .
Installs the package published on PyPI directly β no need to clone the source.
pip install pytest-pylint
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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