Related Repositories for DataScienceSpecialization/DataScienceSpecialization.github.io

Repository	⭐ Stars	🍴 Forks	Ratio
DataScienceSpecialization/DataScienceSpecialization.github.io	1,936	334	5.80
DataScienceSpecialization/courses	497	146	3.40
tensorflow/tensorflow	412	94	4.38
josephmisiti/awesome-machine-learning	380	76	5.00
datasciencemasters/go	352	98	3.59
donnemartin/data-science-ipython-notebooks	347	61	5.69
scikit-learn/scikit-learn	338	94	3.60
vinta/awesome-python	335	51	6.57
sindresorhus/awesome	325	55	5.91
vhf/free-programming-books	306	60	5.10
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	266	55	4.84
jakevdp/PythonDataScienceHandbook	264	50	5.28
getify/You-Dont-Know-JS	264	33	8.00
jlevy/the-art-of-command-line	258	21	12.29
prakhar1989/awesome-courses	257	43	5.98
rushter/data-science-blogs	252	28	9.00
donnemartin/system-design-primer	250	36	6.94
jtleek/datasharing	248	884	0.28
mbostock/d3	242	46	5.26
facebook/react	236	23	10.26
tensorflow/models	234	45	5.20
kamranahmedse/developer-roadmap	231	28	8.25
papers-we-love/papers-we-love	226	22	10.27
TheAlgorithms/Python	223	27	8.26
nborwankar/LearnDataScience	218	37	5.89
caesar0301/awesome-public-datasets	217	29	7.48
swirldev/swirl_courses	216	77	2.81
github/gitignore	216	61	3.54
airbnb/javascript	214	20	10.70
robbyrussell/oh-my-zsh	208	26	8.00
twbs/bootstrap	207	39	5.31
ipython/ipython	201	40	5.03
hakimel/reveal.js	199	32	6.22
jwasham/coding-interview-university	198	48	4.12
BVLC/caffe	193	24	8.04
aymericdamien/TensorFlow-Examples	189	36	5.25
adam-p/markdown-here	187	33	5.67
scrapy/scrapy	186	29	6.41
facebook/react-native	181	12	15.08
ZuzooVn/machine-learning-for-software-engineers	180	27	6.67
rasbt/python-machine-learning-book	180	39	4.62
FortAwesome/Font-Awesome	179	25	7.16
bayandin/awesome-awesomeness	178	25	7.12
dmlc/xgboost	178	37	4.81
apache/spark	178	34	5.24
tiimgreen/github-cheat-sheet	177	26	6.81
resume/resume.github.com	177	13	13.62
pytorch/pytorch	177	27	6.56
atom/atom	176	23	7.65
torvalds/linux	176	32	5.50
hangtwenty/dive-into-machine-learning	171	31	5.52
yhat/rodeo	169	13	13.00
jeroenjanssens/data-science-at-the-command-line	167	14	11.93
golang/go	166	17	9.76
ripienaar/free-for-dev	166	17	9.76
bcaffo/courses	164	103	1.59
ChristosChristofidis/awesome-deep-learning	164	29	5.66
yangshun/tech-interview-handbook	164	16	10.25
FreeCodeCamp/FreeCodeCamp	161	15	10.73
terryum/awesome-deep-learning-papers	161	18	8.94
facebookresearch/fastText	161	11	14.64
angular/angular.js	161	29	5.55
ujjwalkarn/Machine-Learning-Tutorials	160	33	4.85
ansible/ansible	159	14	11.36
fivethirtyeight/data	158	26	6.08
avelino/awesome-go	157	20	7.85
faif/python-patterns	157	26	6.04
NARKOZ/hacker-scripts	156	18	8.67
nvbn/thefuck	155	5	31.00
fchollet/keras	153	25	6.12
JuliaLang/julia	152	14	10.86
kubernetes/kubernetes	152	20	7.60
danistefanovic/build-your-own-x	152	10	15.20
Developer-Y/cs-video-courses	149	23	6.48
ossu/computer-science	149	22	6.77
mrdoob/three.js	148	20	7.40
django/django	147	33	4.45
trekhleb/javascript-algorithms	146	13	11.23
eriklindernoren/ML-From-Scratch	143	23	6.22
joelgrus/data-science-from-scratch	143	29	4.93
johnmyleswhite/ML_for_Hackers	142	31	4.58
open-guides/og-aws	142	12	11.83
ujjwalkarn/DataSciencePython	142	21	6.76
ageron/handson-ml	142	31	4.58
h5bp/html5-boilerplate	140	23	6.09
rg3/youtube-dl	140	15	9.33
jtoy/awesome-tensorflow	139	17	8.18
vuejs/vue	139	12	11.58
jupyter/jupyter	139	14	9.93
discourse/discourse	139	18	7.72
EbookFoundation/free-programming-books	138	30	4.60
kennethreitz/requests	138	17	8.12
d3/d3	138	27	5.11
karan/Projects	137	30	4.57
toddmotto/public-apis	136	14	9.71
jonathan-bower/DataScienceResources	135	21	6.43
grafana/grafana	134	12	11.17
enaqx/awesome-react	134	13	10.31
karpathy/convnetjs	134	14	9.57
huggingface/transformers	133	20	6.65