Related Repositories for DistrictDataLabs/yellowbrick

Repository	⭐ Stars	🍴 Forks	Ratio
DistrictDataLabs/yellowbrick	4,398	220	19.99
tensorflow/tensorflow	1,611	358	4.50
vinta/awesome-python	1,446	173	8.36
slundberg/shap	1,435	80	17.94
scikit-learn/scikit-learn	1,390	371	3.75
tensorflow/models	1,389	204	6.81
TheAlgorithms/Python	1,372	134	10.24
pytorch/pytorch	1,334	158	8.44
ray-project/ray	1,290	77	16.75
josephmisiti/awesome-machine-learning	1,262	175	7.21
streamlit/streamlit	1,251	46	27.20
donnemartin/system-design-primer	1,231	87	14.15
sindresorhus/awesome	1,180	127	9.29
fastai/fastai	1,163	126	9.23
dmlc/xgboost	1,110	111	10.00
explosion/spaCy	1,104	88	12.55
huggingface/transformers	1,100	132	8.33
tiangolo/fastapi	1,097	44	24.93
google/jax	1,088	29	37.52
jakevdp/PythonDataScienceHandbook	1,078	158	6.82
marcotcr/lime	1,060	61	17.38
donnemartin/data-science-ipython-notebooks	1,025	136	7.54
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	1,013	164	6.18
aymericdamien/TensorFlow-Examples	1,001	135	7.41
facebookresearch/fastText	997	81	12.31
facebookresearch/faiss	987	38	25.97
google/python-fire	959	33	29.06
plotly/dash	958	40	23.95
modin-project/modin	940	30	31.33
blue-yonder/tsfresh	938	56	16.75
jlevy/the-art-of-command-line	927	68	13.63
google-research/google-research	926	56	16.54
3b1b/manim	917	41	22.37
tqdm/tqdm	895	25	35.80
ageron/handson-ml	893	125	7.14
eriklindernoren/ML-From-Scratch	885	84	10.54
gradio-app/gradio	869	20	43.45
openai/gym	865	61	14.18
dask/dask	857	69	12.42
sebastianruder/NLP-progress	854	42	20.33
iterative/dvc	852	31	27.48
ageitgey/face_recognition	836	65	12.86
jwasham/coding-interview-university	833	119	7.00
automl/auto-sklearn	831	49	16.96
pandas-dev/pandas	825	185	4.46
google-research/bert	824	57	14.46
faif/python-patterns	823	66	12.47
mlflow/mlflow	818	76	10.76
rasbt/mlxtend	817	52	15.71
scikit-learn-contrib/imbalanced-learn	810	55	14.73
vaexio/vaex	808	27	29.93
kamranahmedse/developer-roadmap	802	64	12.53
spotify/luigi	795	60	13.25
EthicalML/awesome-production-machine-learning	772	40	19.30
eugeneyan/applied-ml	770	38	20.26
scrapy/scrapy	769	62	12.40
altair-viz/altair	768	33	23.27
pola-rs/polars	767	34	22.56
PAIR-code/facets	765	37	20.68
statsmodels/statsmodels	764	72	10.61
danistefanovic/build-your-own-x	758	44	17.23
bokeh/bokeh	757	69	10.97
fchollet/keras	755	115	6.57
satwikkansal/wtfpython	749	34	22.03
allenai/allennlp	746	51	14.63
mwaskom/seaborn	744	54	13.78
papers-we-love/papers-we-love	742	51	14.55
python/cpython	742	91	8.15
spotify/annoy	741	31	23.90
terryum/awesome-deep-learning-papers	740	49	15.10
pandas-profiling/pandas-profiling	740	34	21.76
facebookresearch/Detectron	738	47	15.70
mingrammer/diagrams	737	17	43.35
willmcgugan/rich	736	16	46.00
microsoft/DeepSpeed	736	17	43.29
yunjey/pytorch-tutorial	725	84	8.63
norvig/pytudes	724	43	16.84
facebook/prophet	721	48	15.02
hwchase17/langchain	720	40	18.00
catboost/catboost	714	30	23.80
pycaret/pycaret	714	39	18.31
lmcinnes/umap	710	23	30.87
PrefectHQ/prefect	709	33	21.48
lutzroeder/netron	707	24	29.46
great-expectations/great_expectations	694	29	23.93
fastai/fastbook	693	70	9.90
keras-team/keras	692	114	6.07
tesseract-ocr/tesseract	692	39	17.74
onnx/onnx	690	31	22.26
dennybritz/reinforcement-learning	689	77	8.95
github/gitignore	689	144	4.78
Delgan/loguru	686	11	62.36
RaRe-Technologies/gensim	685	63	10.87
hyperopt/hyperopt	684	38	18.00
HarisIqbal88/PlotNeuralNet	684	31	22.06
JuliaLang/julia	683	59	11.58
yangshun/tech-interview-handbook	676	34	19.88
d2l-ai/d2l-en	670	47	14.26
Netflix/metaflow	668	22	30.36
jupyterlab/jupyterlab	668	37	18.05