Related Repositories for dennybritz/deeplearning-papernotes

Repository	⭐ Stars	🍴 Forks	Ratio
dennybritz/deeplearning-papernotes	4,812	343	14.03
tensorflow/tensorflow	2,384	888	2.68
tensorflow/models	2,186	491	4.45
terryum/awesome-deep-learning-papers	1,706	179	9.53
pytorch/pytorch	1,645	308	5.34
aymericdamien/TensorFlow-Examples	1,637	302	5.42
dennybritz/reinforcement-learning	1,572	230	6.83
josephmisiti/awesome-machine-learning	1,532	288	5.32
fchollet/keras	1,422	345	4.12
facebookresearch/fastText	1,312	168	7.81
songrotek/Deep-Learning-Papers-Reading-Roadmap	1,297	143	9.07
sindresorhus/awesome	1,293	194	6.66
donnemartin/system-design-primer	1,224	115	10.64
oxford-cs-deepnlp-2017/lectures	1,204	135	8.92
yunjey/pytorch-tutorial	1,200	144	8.33
vinta/awesome-python	1,194	161	7.42
openai/gym	1,172	154	7.61
BVLC/caffe	1,164	320	3.64
scikit-learn/scikit-learn	1,159	361	3.21
jtoy/awesome-tensorflow	1,129	128	8.82
ChristosChristofidis/awesome-deep-learning	1,129	165	6.84
facebookresearch/faiss	1,073	68	15.78
pytorch/examples	1,068	208	5.13
sebastianruder/NLP-progress	1,059	94	11.27
kjw0612/awesome-deep-vision	1,031	156	6.61
dmlc/xgboost	1,023	155	6.60
google-research/bert	1,012	106	9.55
TheAlgorithms/Python	1,006	104	9.67
tensorflow/tensor2tensor	1,005	84	11.96
fastai/fastai	1,001	118	8.48
facebookresearch/Detectron	998	74	13.49
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	980	185	5.30
google-research/google-research	960	77	12.47
donnemartin/data-science-ipython-notebooks	952	161	5.91
kjw0612/awesome-rnn	948	124	7.65
soumith/ganhacks	940	66	14.24
allenai/allennlp	925	94	9.84
ray-project/ray	906	70	12.94
papers-we-love/papers-we-love	905	74	12.23
jwasham/coding-interview-university	897	183	4.90
ZuzooVn/machine-learning-for-software-engineers	861	135	6.38
jlevy/the-art-of-command-line	859	72	11.93
google/jax	855	42	20.36
explosion/spaCy	855	103	8.30
huggingface/transformers	854	205	4.17
ShangtongZhang/reinforcement-learning-an-introduction	851	105	8.10
caesar0301/awesome-public-datasets	842	109	7.72
eriklindernoren/ML-From-Scratch	838	95	8.82
deepmind/sonnet	838	53	15.81
prakhar1989/awesome-courses	836	129	6.48
dmlc/mxnet	836	159	5.26
ritchieng/the-incredible-pytorch	829	70	11.84
karpathy/char-rnn	819	115	7.12
tensorflow/magenta	819	83	9.87
openai/baselines	816	97	8.41
facebookresearch/ParlAI	783	81	9.67
vahidk/EffectiveTensorflow	779	62	12.56
vdumoulin/conv_arithmetic	778	54	14.41
ujjwalkarn/Machine-Learning-Tutorials	777	117	6.64
Microsoft/CNTK	774	73	10.60
pjreddie/darknet	774	112	6.91
matterport/Mask_RCNN	771	112	6.88
tflearn/tflearn	769	92	8.36
bharathgs/Awesome-pytorch-list	768	71	10.82
aikorea/awesome-rl	767	83	9.24
jbhuang0604/awesome-computer-vision	764	105	7.28
ageron/handson-ml	757	124	6.10
wiseodd/generative-models	755	73	10.34
jakevdp/PythonDataScienceHandbook	735	92	7.99
RedditSota/state-of-the-art-result-for-machine-learning-problems	732	48	15.25
ageitgey/face_recognition	731	63	11.60
facebookresearch/visdom	731	41	17.83
yangshun/tech-interview-handbook	720	50	14.40
kamranahmedse/developer-roadmap	719	57	12.61
junyanz/pytorch-CycleGAN-and-pix2pix	713	80	8.91
slundberg/shap	708	36	19.67
google/seq2seq	700	85	8.24
kailashahirwar/cheatsheets-ai	696	59	11.80
rushter/MLAlgorithms	691	82	8.43
jcjohnson/neural-style	689	79	8.72
aleju/imgaug	688	52	13.23
openai/gpt-2	677	46	14.72
mozilla/DeepSpeech	673	60	11.22
spro/practical-pytorch	673	56	12.02
facebookresearch/fairseq	671	46	14.59
blei-lab/edward	664	55	12.07
exacity/deeplearningbook-chinese	663	93	7.13
dennybritz/cnn-text-classification-tf	662	111	5.96
spotify/annoy	661	34	19.44
pytorch/fairseq	660	109	6.06
hindupuravinash/the-gan-zoo	658	55	11.96
marcotcr/lime	658	40	16.45
keon/awesome-nlp	656	73	8.99
rasbt/python-machine-learning-book	654	98	6.67
mnielsen/neural-networks-and-deep-learning	653	107	6.10
tesseract-ocr/tesseract	651	49	13.29
CMU-Perceptual-Computing-Lab/openpose	648	60	10.80
HarisIqbal88/PlotNeuralNet	647	34	19.03
rwightman/pytorch-image-models	645	41	15.73
microsoft/DeepSpeed	644	37	17.41