| name (string) | stars (int64) | forks (int64) |
|---|---|---|
"disi-unibo-nlp/nlg-metricverse"
| 45
| 2
|
"hkjeon13/koai"
| 1
| 0
|
"sileod/tasknet"
| 2
| 0
|
"saattrupdan/ScandEval"
| 13
| 5
|
"fkodom/clip-text-decoder"
| 30
| 1
|
"huggingface/optimum"
| 806
| 98
|
"autogluon/autogluon"
| 5,117
| 672
|
"sanderland/grouphug"
| 3
| 1
|
"obss/jury"
| 124
| 10
|
"speediedan/finetuning-scheduler"
| 31
| 1
|
"IBM/zshot"
| 128
| 7
|
"huggingface/optimum-intel"
| 84
| 19
|
"huggingface/transformers"
| 75,453
| 17,124
|
"huggingface/setfit"
| 789
| 68
|
"Jaseci-Labs/jaseci"
| 137
| 95
|
"fcakyon/video-transformers"
| 29
| 2
|
"entelecheia/ekorpkit"
| 2
| 1
|
"huggingface/accelerate"
| 3,301
| 276
|
evaluate metrics
This dataset contains metrics about the huggingface/evaluate package.
Number of repositories in the dataset: 106 Number of packages in the dataset: 3
Package dependents
This contains the data available in the used-by tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
| Package | Repository |
|---|---|
 |
 |
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
Repository
huggingface/transformers: 70481
huggingface/accelerate: 2884
huggingface/evaluate: 878
pytorch/benchmark: 406
imhuay/studies: 161
AIRC-KETI/ke-t5: 128
philschmid/optimum-static-quantization: 20
hms-dbmi/scw: 19
philschmid/optimum-transformers-optimizations: 15
lewtun/dl4phys: 15
Package & Repository fork count
This section shows the package and repository fork count, individually.
| Package | Repository |
|---|---|
 |
 |
There are 1 packages that have more than 200 forks.
There are 2 repositories that have more than 200 forks.
The top 10 in each category are the following:
Package
Repository
huggingface/transformers: 16157
pytorch/benchmark: 131
imhuay/studies: 42
AIRC-KETI/ke-t5: 14
hms-dbmi/scw: 11
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