license: apache-2.0 pretty_name: evaluate metrics tags: - github-stars dataset_info: features: - name: name dtype: string - name: stars dtype: int64 - name: forks dtype: int64 splits: - name: package num_bytes: 1830 num_examples: 45 - name: repository num_bytes: 54734 num_examples: 1161 download_size: 37570 dataset_size: 56564
This dataset contains metrics about the huggingface/evaluate package.
Number of repositories in the dataset: 106 Number of packages in the dataset: 3
This contains the data available in the used-by tab on GitHub.
This section shows the package and repository star count, individually.
There are 1 packages that have more than 1000 stars.
There are 2 repositories that have more than 1000 stars.
The top 10 in each category are the following:
Package
huggingface/accelerate: 2884
fcakyon/video-transformers: 4
entelecheia/ekorpkit: 2
Repository
huggingface/transformers: 70481
huggingface/evaluate: 878
pytorch/benchmark: 406
imhuay/studies: 161
AIRC-KETI/ke-t5: 128
Jaseci-Labs/jaseci: 32
philschmid/optimum-static-quantization: 20
hms-dbmi/scw: 19
philschmid/optimum-transformers-optimizations: 15
girafe-ai/msai-python: 15
lewtun/dl4phys: 15
This section shows the package and repository fork count, individually.
There are 1 packages that have more than 200 forks.
There are 2 repositories that have more than 200 forks.
huggingface/accelerate: 224
fcakyon/video-transformers: 0
entelecheia/ekorpkit: 0
huggingface/transformers: 16157
pytorch/benchmark: 131
Jaseci-Labs/jaseci: 67
huggingface/evaluate: 48
imhuay/studies: 42
AIRC-KETI/ke-t5: 14
girafe-ai/msai-python: 14
hms-dbmi/scw: 11
kili-technology/automl: 5
whatofit/LevelWordWithFreq: 5