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github.com/microsoft/muzic @DeepRapper-v1.0 sqlite

repository ↗ · DeepWiki ↗ · release DeepRapper-v1.0 ↗
321 symbols 821 edges 27 files 85 documented · 26%
README

Muzic

Muzic is a research project that empowers music understanding and generation with deep learning and artificial intelligence. Muzic was started by some researchers from Microsoft Research Asia.

Our research work in Muzic:

We initially release the code of two research work: MusicBERT and DeepRapper. You can find the README in the corresponding folder.

Requirements

The requirements for running muzic are listed in requirements.txt. To install the requirements, run:

pip install -r requirements.txt

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Core symbols most depended-on inside this repo

convert_tokens_to_ids
called by 48
deeprapper/tokenizations/bpe_tokenizer.py
size
called by 43
songmass/mass/music_mt_dataset.py
tokenize
called by 13
deeprapper/tokenizations/bpe_tokenizer.py
time_to_pos
called by 10
musicbert/preprocess.py
base_architecture
called by 8
musicbert/musicbert/__init__.py
get_id
called by 6
musicbert/gen_genre.py
eval
called by 6
deeprapper/beam_search.py
get_sentence_pinyin_finals
called by 5
deeprapper/utils.py

Shape

Method 174
Function 115
Class 32

Languages

Python100%

Modules by API surface

musicbert/musicbert/__init__.py30 symbols
songmass/mass/xmasked_seq2seq.py28 symbols
deeprapper/module.py27 symbols
songmass/mass/music_mass_dataset.py25 symbols
musicbert/preprocess.py25 symbols
deeprapper/tokenizations/tokenization_bert_word_level.py25 symbols
deeprapper/tokenizations/tokenization_bert.py25 symbols
songmass/mass/xtransformer.py19 symbols
deeprapper/beam_search.py16 symbols
songmass/mass/music_mt_dataset.py15 symbols
deeprapper/tokenizations/bpe_tokenizer.py15 symbols
songmass/data/generate_lmd_dataset.py13 symbols

Dependencies from manifests, versioned

fairseq0.10.2 · 1×
jieba0.42.1 · 1×
miditoolkit0.1.14 · 1×
pypinyin0.39.1 · 1×
tensorboard2.4.0 · 1×
torch1.7.1 · 1×
transformers3.5.1 · 1×

For agents

$ claude mcp add muzic \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact