Related Repositories for beamandrew/medical-data

Repository	⭐ Stars	🍴 Forks	Ratio
beamandrew/medical-data	6,180	395	15.65
tensorflow/tensorflow	2,253	576	3.91
tensorflow/models	1,736	417	4.16
josephmisiti/awesome-machine-learning	1,513	182	8.31
sindresorhus/awesome	1,352	178	7.60
scikit-learn/scikit-learn	1,341	260	5.16
pytorch/pytorch	1,279	217	5.89
openai/gym	1,254	97	12.93
jbhuang0604/awesome-computer-vision	1,226	110	11.15
TheAlgorithms/Python	1,201	148	8.11
vinta/awesome-python	1,198	159	7.53
donnemartin/system-design-primer	1,168	118	9.90
aymericdamien/TensorFlow-Examples	1,117	193	5.79
ChristosChristofidis/awesome-deep-learning	1,091	106	10.29
keon/awesome-nlp	1,075	60	17.92
fivethirtyeight/data	1,074	57	18.84
GoogleTrends/data	1,060	27	39.26
src-d/awesome-machine-learning-on-source-code	1,047	37	28.30
huggingface/transformers	1,010	125	8.08
jtoy/awesome-tensorflow	988	85	11.62
jwasham/coding-interview-university	978	170	5.75
terryum/awesome-deep-learning-papers	963	101	9.53
kamranahmedse/developer-roadmap	920	86	10.70
ujjwalkarn/Machine-Learning-Tutorials	899	76	11.83
facebookresearch/Detectron	892	94	9.49
aikorea/awesome-rl	871	53	16.43
yunjey/pytorch-tutorial	864	132	6.55
fastai/fastai	849	142	5.98
jlevy/the-art-of-command-line	841	60	14.02
BVLC/caffe	822	152	5.41
danistefanovic/build-your-own-x	791	48	16.48
matterport/Mask_RCNN	787	135	5.83
fchollet/keras	773	188	4.11
papers-we-love/papers-we-love	768	40	19.20
ageitgey/face_recognition	758	82	9.24
GSA/data	756	13	58.15
google-research/google-research	747	58	12.88
donnemartin/data-science-ipython-notebooks	743	118	6.30
Theano/Theano	738	60	12.30
facebookresearch/fastText	737	62	11.89
jakevdp/PythonDataScienceHandbook	735	129	5.70
nationalparkservice/data	728	12	60.67
pytorch/examples	727	140	5.19
dmlc/xgboost	713	94	7.59
eriklindernoren/ML-From-Scratch	696	67	10.39
facebook/react	694	74	9.38
open-mmlab/mmdetection	693	96	7.22
junyanz/pytorch-CycleGAN-and-pix2pix	693	107	6.48
yangshun/tech-interview-handbook	688	59	11.66
EbookFoundation/free-programming-books	686	92	7.46
dennybritz/reinforcement-learning	684	90	7.60
google-research/bert	681	63	10.81
ageron/handson-ml	680	131	5.19
fastai/courses	673	74	9.09
rwightman/pytorch-image-models	672	66	10.18
ray-project/ray	668	45	14.84
songrotek/Deep-Learning-Papers-Reading-Roadmap	667	88	7.58
oxford-cs-deepnlp-2017/lectures	666	91	7.32
HarisIqbal88/PlotNeuralNet	666	45	14.80
ZuzooVn/machine-learning-for-software-engineers	664	84	7.90
github/gitignore	663	168	3.95
nlintz/TensorFlow-Tutorials	661	54	12.24
facebookresearch/faiss	661	39	16.95
explosion/spaCy	658	80	8.22
aleju/imgaug	657	47	13.98
facebookresearch/detectron2	652	68	9.59
scutan90/DeepLearning-500-questions	651	117	5.56
apache/hadoop	649	41	15.83
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	643	93	6.91
prakhar1989/awesome-courses	637	83	7.67
sebastianruder/NLP-progress	636	53	12.00
awesomedata/awesome-public-datasets	635	78	8.14
3b1b/manim	633	36	17.58
keras-team/keras	632	152	4.16
torvalds/linux	626	99	6.32
getify/You-Dont-Know-JS	623	72	8.65
google/jax	617	28	22.04
caesar0301/awesome-public-datasets	614	83	7.40
opencv/opencv	607	148	4.10
pkmital/tensorflow_tutorials	605	46	13.15
deepfakes/faceswap	600	83	7.23
tesseract-ocr/tesseract	600	50	12.00
slundberg/shap	599	35	17.11
CMU-Perceptual-Computing-Lab/openpose	595	74	8.04
apache/spark	594	102	5.82
bharathgs/Awesome-pytorch-list	588	49	12.00
labuladong/fucking-algorithm	584	50	11.68
pjreddie/darknet	579	82	7.06
ossu/computer-science	575	50	11.50
kailashahirwar/cheatsheets-ai	574	66	8.70
vuejs/vue	573	43	13.33
mozilla/DeepSpeech	573	47	12.19
freeCodeCamp/freeCodeCamp	573	71	8.07
flutter/flutter	572	41	13.95
kjw0612/awesome-deep-vision	570	89	6.40
mrgloom/awesome-semantic-segmentation	567	82	6.91
kubernetes/kubernetes	567	67	8.46
996icu/996.ICU	566	28	20.21
davisking/dlib	565	38	14.87
public-apis/public-apis	565	34	16.62