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Meng Wei/KAN-TTS

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environment.yaml 1.32 KB
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Jin 提交于 2022-12-22 12:11 . [rls] bytes encode; fp refine
name: maas
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- audioread
- cudatoolkit=10.1
- ffmpeg
- lame
- librosa=0.9.2
- libsndfile
- matplotlib=3.5.1
- matplotlib-base=3.5.1
- numba
- numpy
- unidecode
- inflect
- numpy-base
- pip
- protobuf=3.20.1
- pysocks=1.7.1
- pysoundfile
- python=3.7.13
- python-dateutil=2.8.2
- python_abi=3.7
- pytorch=1.7.0
- pywavelets=1.3.0
- pyyaml=6.0
- readline
- scikit-learn=1.0.2
- scipy=1.7.3
- setuptools=61.2.0
- six=1.16.0
- sqlite=3.38.5
- tensorboardx=2.2
- threadpoolctl=3.1.0
- tk=8.6.12
- torchaudio=0.7.0
- torchvision=0.8.0
- tqdm
- urllib3
- wheel
- yaml=0.2.5
- pip:
- appnope==0.1.3
- backcall==0.2.0
- cython==0.29.30
- dataclasses==0.6
- future==0.18.2
- greenlet==1.1.2
- ipdb
- ipython
- jedi==0.18.1
- matplotlib-inline==0.1.3
- msgpack==1.0.4
- parso==0.8.3
- pexpect==4.8.0
- pickleshare==0.7.5
- prompt-toolkit==3.0.30
- ptyprocess==0.7.0
- pygments==2.12.0
- pysptk
- git+https://github.com/fbcotter/pytorch_wavelets.git
- sox
- toml==0.10.2
- traitlets==5.3.0
- wcwidth==0.2.5
- bitstring==3.1.6
- --find-links https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
- ttsfrd
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