GitRelate(d)
Related Repositories for business-science/modeltime
Repository
⭐ Stars
🍴 Forks
Ratio
business-science/modeltime
527
24
21.96
business-science/timetk
158
9
17.56
facebook/prophet
132
22
6.00
huggingface/transformers
121
11
11.00
tensorflow/tensorflow
120
17
7.06
TheAlgorithms/Python
119
9
13.22
rfordatascience/tidytuesday
112
12
9.33
streamlit/streamlit
112
4
28.00
rstudio/gt
111
4
27.75
vinta/awesome-python
108
15
7.20
business-science/tidyquant
106
5
21.20
unit8co/darts
104
7
14.86
mlr-org/mlr3
101
8
12.62
qinwf/awesome-R
101
18
5.61
scikit-learn/scikit-learn
99
17
5.82
eugeneyan/applied-ml
97
9
10.78
dmlc/xgboost
97
15
6.47
easystats/easystats
96
5
19.20
sindresorhus/awesome
96
13
7.38
Rdatatable/data.table
96
13
7.38
IndrajeetPatil/ggstatsplot
96
5
19.20
EbookFoundation/free-programming-books
95
9
10.56
alan-turing-institute/sktime
94
13
7.23
slundberg/shap
94
9
10.44
sfirke/janitor
94
3
31.33
pytorch/pytorch
93
8
11.62
pycaret/pycaret
93
5
18.60
tidyverts/fable
92
4
23.00
tidymodels/tidymodels
92
2
46.00
thomasp85/patchwork
92
5
18.40
blue-yonder/tsfresh
91
6
15.17
pola-rs/polars
91
7
13.00
jwasham/coding-interview-university
90
5
18.00
dreamRs/esquisse
90
3
30.00
JuliaLang/julia
88
4
22.00
public-apis/public-apis
88
6
14.67
tensorflow/models
87
13
6.69
ThinkR-open/golem
87
3
29.00
josephmisiti/awesome-machine-learning
87
15
5.80
google/jax
86
3
28.67
hadley/r4ds
85
10
8.50
rstudio/shiny
85
8
10.62
easystats/performance
85
2
42.50
Nixtla/statsforecast
85
6
14.17
ray-project/ray
85
5
17.00
tidymodels/parsnip
84
8
10.50
tiangolo/fastapi
83
2
41.50
jlevy/the-art-of-command-line
83
11
7.55
mlflow/mlflow
83
6
13.83
fastai/fastai
81
11
7.36
tidymodels/TMwR
81
14
5.79
jakevdp/PythonDataScienceHandbook
80
12
6.67
donnemartin/system-design-primer
80
4
20.00
rstudio/cheatsheets
79
10
7.90
pandas-dev/pandas
79
7
11.29
d2l-ai/d2l-en
78
6
13.00
ml-tooling/best-of-ml-python
78
6
13.00
microsoft/ML-For-Beginners
77
6
12.83
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
77
13
5.92
mjskay/ggdist
77
1
77.00
statsmodels/statsmodels
77
10
7.70
ossu/computer-science
77
7
11.00
tidyverse/dplyr
77
15
5.13
tidymodels/stacks
77
1
77.00
nanxstats/awesome-shiny-extensions
76
5
15.20
PrefectHQ/prefect
76
3
25.33
tidyverts/tsibble
76
2
38.00
keras-team/keras
76
13
5.85
great-expectations/great_expectations
75
1
75.00
plotly/dash
75
5
15.00
ropensci/drake
75
3
25.00
marcotcr/lime
75
4
18.75
robjhyndman/forecast
75
7
10.71
easystats/see
75
2
37.50
kamranahmedse/developer-roadmap
75
5
15.00
mlr-org/mlr
75
7
10.71
facebookresearch/Kats
74
3
24.67
rstudio/renv
74
3
24.67
business-science/free_r_tips
73
15
4.87
mjskay/tidybayes
73
2
36.50
google-research/google-research
72
8
9.00
rstudio/bookdown
72
8
9.00
awesomedata/awesome-public-datasets
72
8
9.00
tidyverse/ggplot2
72
15
4.80
catboost/catboost
72
7
10.29
nomic-ai/gpt4all
71
3
23.67
ddsjoberg/gtsummary
71
2
35.50
tidymodels/broom
71
5
14.20
tidymodels/tune
71
2
35.50
rstudio/reticulate
71
4
17.75
gradio-app/gradio
71
2
35.50
hwchase17/langchain
70
5
14.00
Netflix/metaflow
70
3
23.33
modin-project/modin
70
3
23.33
tidymodels/recipes
70
8
8.75
uber/causalml
70
4
17.50
hrbrmstr/hrbrthemes
70
1
70.00
h2oai/h2o-3
69
5
13.80
iterative/dvc
69
4
17.25
RamiKrispin/TSstudio
69
3
23.00
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