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Author:
Lightning-AI et al.
License:
Apache-2.0
Summary:
PyTorch native Metrics
Latest version:
1.8.2
Required dependencies:
aeon
|
lightning-utilities
|
mecab-ko
|
mecab-ko-dic
|
numpy
|
packaging
|
pytdc
|
torch
Optional dependencies:
bert_score
|
dists-pytorch
|
dython
|
einops
|
fairlearn
|
fast-bss-eval
|
faster-coco-eval
|
gammatone
|
huggingface-hub
|
ipadic
|
jiwer
|
kornia
|
librosa
|
lpips
|
matplotlib
|
mecab-python3
|
mir-eval
|
monai
|
mypy
|
netcal
|
nltk
|
numpy
|
onnxruntime
|
pandas
|
permetrics
|
pesq
|
piq
|
properscoring
|
pycocotools
|
pystoi
|
pytorch-msssim
|
regex
|
requests
|
rouge-score
|
sacrebleu
|
scienceplots
|
scikit-image
|
scipy
|
sentencepiece
|
sewar
|
statsmodels
|
timm
|
torch
|
torch-fidelity
|
torch_complex
|
torch_linear_assignment
|
torchaudio
|
torchvision
|
tqdm
|
transformers
|
types-emoji
|
types-protobuf
|
types-pyyaml
|
types-requests
|
types-setuptools
|
types-six
|
types-tabulate
|
vmaf-torch
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