Related Repositories for DistrictDataLabs/yellowbrick

Repository	⭐ Stars	🍴 Forks	Ratio
DistrictDataLabs/yellowbrick	4,404	222	19.84
tensorflow/tensorflow	1,614	359	4.50
vinta/awesome-python	1,448	173	8.37
slundberg/shap	1,436	81	17.73
scikit-learn/scikit-learn	1,392	371	3.75
tensorflow/models	1,390	205	6.78
TheAlgorithms/Python	1,372	134	10.24
pytorch/pytorch	1,336	158	8.46
ray-project/ray	1,295	78	16.60
josephmisiti/awesome-machine-learning	1,264	175	7.22
streamlit/streamlit	1,251	47	26.62
donnemartin/system-design-primer	1,237	87	14.22
sindresorhus/awesome	1,181	127	9.30
fastai/fastai	1,165	126	9.25
dmlc/xgboost	1,114	112	9.95
explosion/spaCy	1,105	89	12.42
huggingface/transformers	1,101	133	8.28
tiangolo/fastapi	1,097	44	24.93
google/jax	1,088	29	37.52
jakevdp/PythonDataScienceHandbook	1,080	159	6.79
marcotcr/lime	1,061	62	17.11
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	1,000	81	12.35
facebookresearch/faiss	990	38	26.05
plotly/dash	959	40	23.98
google/python-fire	959	33	29.06
modin-project/modin	943	30	31.43
blue-yonder/tsfresh	939	57	16.47
jlevy/the-art-of-command-line	928	68	13.65
google-research/google-research	928	56	16.57
3b1b/manim	920	41	22.44
tqdm/tqdm	895	25	35.80
ageron/handson-ml	894	126	7.10
eriklindernoren/ML-From-Scratch	885	84	10.54
gradio-app/gradio	871	20	43.55
openai/gym	867	61	14.21
dask/dask	858	69	12.43
sebastianruder/NLP-progress	856	43	19.91
iterative/dvc	855	32	26.72
ageitgey/face_recognition	838	66	12.70
jwasham/coding-interview-university	835	119	7.02
automl/auto-sklearn	832	50	16.64
google-research/bert	826	57	14.49
pandas-dev/pandas	825	185	4.46
faif/python-patterns	824	66	12.48
mlflow/mlflow	819	76	10.78
rasbt/mlxtend	817	52	15.71
scikit-learn-contrib/imbalanced-learn	812	55	14.76
vaexio/vaex	809	28	28.89
kamranahmedse/developer-roadmap	804	64	12.56
spotify/luigi	795	60	13.25
EthicalML/awesome-production-machine-learning	773	40	19.32
eugeneyan/applied-ml	771	38	20.29
pola-rs/polars	771	35	22.03
scrapy/scrapy	769	62	12.40
altair-viz/altair	768	33	23.27
statsmodels/statsmodels	767	72	10.65
PAIR-code/facets	765	37	20.68
bokeh/bokeh	758	69	10.99
danistefanovic/build-your-own-x	758	44	17.23
fchollet/keras	756	116	6.52
satwikkansal/wtfpython	749	34	22.03
allenai/allennlp	747	51	14.65
mwaskom/seaborn	746	54	13.81
papers-we-love/papers-we-love	745	51	14.61
python/cpython	742	91	8.15
spotify/annoy	742	31	23.94
pandas-profiling/pandas-profiling	740	34	21.76
terryum/awesome-deep-learning-papers	740	49	15.10
microsoft/DeepSpeed	739	17	43.47
facebookresearch/Detectron	739	47	15.72
mingrammer/diagrams	738	18	41.00
willmcgugan/rich	736	16	46.00
yunjey/pytorch-tutorial	726	84	8.64
norvig/pytudes	724	43	16.84
facebook/prophet	722	49	14.73
hwchase17/langchain	721	40	18.02
pycaret/pycaret	715	40	17.88
catboost/catboost	715	31	23.06
PrefectHQ/prefect	713	34	20.97
lutzroeder/netron	712	25	28.48
lmcinnes/umap	711	23	30.91
great-expectations/great_expectations	696	29	24.00
fastai/fastbook	695	70	9.93
tesseract-ocr/tesseract	693	39	17.77
keras-team/keras	692	114	6.07
onnx/onnx	692	32	21.62
dennybritz/reinforcement-learning	691	78	8.86
github/gitignore	690	144	4.79
Delgan/loguru	687	11	62.45
HarisIqbal88/PlotNeuralNet	687	31	22.16
RaRe-Technologies/gensim	686	64	10.72
hyperopt/hyperopt	685	39	17.56
JuliaLang/julia	683	59	11.58
yangshun/tech-interview-handbook	676	34	19.88
d2l-ai/d2l-en	673	48	14.02
Netflix/metaflow	671	23	29.17
jupyterlab/jupyterlab	670	37	18.11