name
stringlengths
9
35
stars
int64
0
91.9k
forks
int64
0
19.4k
Arize-ai/client_python
25
4
scales-okn/scales-nlp
0
0
huggingface/transformers
91,889
19,423
Yushi-Hu/tifa
21
1
stochasticai/xturing
1,357
93
alphagov/gantry
12
5
OpenThaiGPT/openthaigpt
17
4
automatethem/evaluate-supporter
0
0
Shark-NLP/OpenICL
306
15
adapter-hub/adapter-transformers
1,421
252
leoxiang66/research-trends-analysis
1
0
pesvut/separability
3
0
amaiya/MyGPT
0
0
timothydai/tailwiz
0
0
flxst/nerblackbox
14
0
IBM/aihwkit
196
93
CLARIN-PL/embeddings
32
1
hkjeon13/flax-trainer
2
0
asahi417/lm-question-generation
83
9
aadhithya/transformers-collection
1
0
manojkumartjpk/transformers
0
0
Jaseci-Labs/jaseci
108
181
chrisjihee/chrislab
1
0
avacaondata/nlpboost
16
3
microsoft/archai
409
86
TokisakiKurumi2001/marian
0
0
lewtun/transfusion
2
0
disi-unibo-nlp/nlg-metricverse
53
2
hkjeon13/koai
2
0
butlerlabs/docai
7
0
sileod/tasknet
10
0
saattrupdan/ScandEval
17
8
fkodom/clip-text-decoder
50
3
huggingface/optimum
1,042
167
autogluon/autogluon
5,590
723
chatdesk/grouphug
10
2
sanderland/grouphug
4
1
obss/jury
137
12
speediedan/finetuning-scheduler
40
2
IBM/zshot
217
13
huggingface/optimum-intel
131
27
huggingface/setfit
1,301
137
fcakyon/video-transformers
75
8
entelecheia/ekorpkit
4
2
huggingface/accelerate
4,164
409

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
evaluate-dependent package star count evaluate-dependent repository star count

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/accelerate: 2884

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

Package & Repository fork count

This section shows the package and repository fork count, individually.

Package Repository
evaluate-dependent package forks count evaluate-dependent repository forks count

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

huggingface/accelerate: 224

fcakyon/video-transformers: 0

entelecheia/ekorpkit: 0

Repository

huggingface/transformers: 16157

huggingface/accelerate: 224

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

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