Related Repositories for dennybritz/deeplearning-papernotes

Repository	⭐ Stars	🍴 Forks	Ratio
dennybritz/deeplearning-papernotes	4,803	343	14.00
tensorflow/tensorflow	2,382	888	2.68
tensorflow/models	2,185	491	4.45
terryum/awesome-deep-learning-papers	1,705	179	9.53
pytorch/pytorch	1,641	308	5.33
aymericdamien/TensorFlow-Examples	1,635	301	5.43
dennybritz/reinforcement-learning	1,569	230	6.82
josephmisiti/awesome-machine-learning	1,530	288	5.31
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	1,289	193	6.68
donnemartin/system-design-primer	1,220	115	10.61
oxford-cs-deepnlp-2017/lectures	1,203	135	8.91
yunjey/pytorch-tutorial	1,198	144	8.32
vinta/awesome-python	1,192	160	7.45
openai/gym	1,171	154	7.60
BVLC/caffe	1,164	320	3.64
scikit-learn/scikit-learn	1,157	361	3.20
jtoy/awesome-tensorflow	1,128	128	8.81
ChristosChristofidis/awesome-deep-learning	1,126	165	6.82
facebookresearch/faiss	1,072	68	15.76
pytorch/examples	1,067	208	5.13
sebastianruder/NLP-progress	1,058	94	11.26
kjw0612/awesome-deep-vision	1,031	156	6.61
dmlc/xgboost	1,021	155	6.59
google-research/bert	1,011	106	9.54
tensorflow/tensor2tensor	1,005	84	11.96
TheAlgorithms/Python	1,002	103	9.73
fastai/fastai	1,001	118	8.48
facebookresearch/Detectron	998	74	13.49
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	978	185	5.29
google-research/google-research	958	77	12.44
donnemartin/data-science-ipython-notebooks	951	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	904	70	12.91
papers-we-love/papers-we-love	900	74	12.16
jwasham/coding-interview-university	893	183	4.88
ZuzooVn/machine-learning-for-software-engineers	859	135	6.36
jlevy/the-art-of-command-line	857	72	11.90
google/jax	854	42	20.33
explosion/spaCy	853	103	8.28
huggingface/transformers	852	205	4.16
ShangtongZhang/reinforcement-learning-an-introduction	848	105	8.08
caesar0301/awesome-public-datasets	842	109	7.72
deepmind/sonnet	838	53	15.81
dmlc/mxnet	836	159	5.26
eriklindernoren/ML-From-Scratch	835	95	8.79
prakhar1989/awesome-courses	833	128	6.51
ritchieng/the-incredible-pytorch	827	70	11.81
tensorflow/magenta	819	83	9.87
karpathy/char-rnn	818	115	7.11
openai/baselines	815	97	8.40
facebookresearch/ParlAI	783	81	9.67
vahidk/EffectiveTensorflow	779	62	12.56
vdumoulin/conv_arithmetic	778	54	14.41
ujjwalkarn/Machine-Learning-Tutorials	775	115	6.74
Microsoft/CNTK	774	73	10.60
pjreddie/darknet	773	112	6.90
matterport/Mask_RCNN	770	111	6.94
tflearn/tflearn	768	91	8.44
bharathgs/Awesome-pytorch-list	767	71	10.80
aikorea/awesome-rl	766	83	9.23
jbhuang0604/awesome-computer-vision	761	105	7.25
ageron/handson-ml	757	124	6.10
wiseodd/generative-models	755	73	10.34
jakevdp/PythonDataScienceHandbook	733	92	7.97
RedditSota/state-of-the-art-result-for-machine-learning-problems	731	48	15.23
facebookresearch/visdom	731	41	17.83
ageitgey/face_recognition	727	63	11.54
yangshun/tech-interview-handbook	716	49	14.61
junyanz/pytorch-CycleGAN-and-pix2pix	713	80	8.91
kamranahmedse/developer-roadmap	712	56	12.71
slundberg/shap	708	36	19.67
google/seq2seq	700	85	8.24
kailashahirwar/cheatsheets-ai	695	59	11.78
rushter/MLAlgorithms	690	82	8.41
jcjohnson/neural-style	689	79	8.72
aleju/imgaug	688	52	13.23
spro/practical-pytorch	673	56	12.02
openai/gpt-2	673	46	14.63
mozilla/DeepSpeech	672	60	11.20
facebookresearch/fairseq	670	46	14.57
blei-lab/edward	664	55	12.07
exacity/deeplearningbook-chinese	663	93	7.13
dennybritz/cnn-text-classification-tf	661	111	5.95
spotify/annoy	660	34	19.41
pytorch/fairseq	659	109	6.05
marcotcr/lime	658	40	16.45
hindupuravinash/the-gan-zoo	658	55	11.96
keon/awesome-nlp	654	73	8.96
rasbt/python-machine-learning-book	652	98	6.65
mnielsen/neural-networks-and-deep-learning	649	107	6.07
tesseract-ocr/tesseract	649	49	13.24
HarisIqbal88/PlotNeuralNet	647	34	19.03
CMU-Perceptual-Computing-Lab/openpose	646	60	10.77
onnx/onnx	644	41	15.71
rwightman/pytorch-image-models	644	41	15.71