Related Repositories for Kyubyong/nlp_tasks

Repository	⭐ Stars	🍴 Forks	Ratio
Kyubyong/nlp_tasks	3,233	216	14.97
tensorflow/tensorflow	1,393	436	3.19
tensorflow/models	1,330	311	4.28
sebastianruder/NLP-progress	1,130	107	10.56
aymericdamien/TensorFlow-Examples	1,050	182	5.77
facebookresearch/fastText	1,018	120	8.48
google-research/bert	998	128	7.80
donnemartin/system-design-primer	974	78	12.49
josephmisiti/awesome-machine-learning	973	140	6.95
sindresorhus/awesome	959	101	9.50
pytorch/pytorch	955	138	6.92
oxford-cs-deepnlp-2017/lectures	939	101	9.30
vinta/awesome-python	904	100	9.04
terryum/awesome-deep-learning-papers	894	75	11.92
TheAlgorithms/Python	869	82	10.60
allenai/allennlp	823	103	7.99
explosion/spaCy	819	92	8.90
scikit-learn/scikit-learn	778	193	4.03
keon/awesome-nlp	778	64	12.16
yunjey/pytorch-tutorial	766	113	6.78
fastai/fastai	738	69	10.70
songrotek/Deep-Learning-Papers-Reading-Roadmap	727	80	9.09
jlevy/the-art-of-command-line	720	38	18.95
kamranahmedse/developer-roadmap	715	50	14.30
eriklindernoren/ML-From-Scratch	704	60	11.73
RedditSota/state-of-the-art-result-for-machine-learning-problems	702	42	16.71
facebookresearch/faiss	701	36	19.47
fchollet/keras	693	135	5.13
tensorflow/tensor2tensor	690	66	10.45
jtoy/awesome-tensorflow	688	55	12.51
huggingface/transformers	686	195	3.52
papers-we-love/papers-we-love	676	37	18.27
dennybritz/reinforcement-learning	673	85	7.92
jwasham/coding-interview-university	668	106	6.30
facebookresearch/Detectron	664	30	22.13
mozilla/DeepSpeech	651	50	13.02
ageitgey/face_recognition	650	45	14.44
yangshun/tech-interview-handbook	640	33	19.39
google-research/google-research	640	42	15.24
danistefanovic/build-your-own-x	635	32	19.84
dmlc/xgboost	630	82	7.68
facebookresearch/ParlAI	628	57	11.02
donnemartin/data-science-ipython-notebooks	621	78	7.96
ZuzooVn/machine-learning-for-software-engineers	618	61	10.13
ray-project/ray	614	33	18.61
pytorch/examples	600	89	6.74
BVLC/caffe	598	106	5.64
openai/gym	598	54	11.07
vahidk/EffectiveTensorflow	598	36	16.61
kailashahirwar/cheatsheets-ai	593	33	17.97
openai/gpt-2	564	39	14.46
bharathgs/Awesome-pytorch-list	562	53	10.60
ageron/handson-ml	561	69	8.13
graykode/nlp-tutorial	557	57	9.77
fighting41love/funNLP	557	83	6.71
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers	556	79	7.04
jakevdp/PythonDataScienceHandbook	554	65	8.52
brightmart/text_classification	551	82	6.72
zalandoresearch/flair	543	26	20.88
ChristosChristofidis/awesome-deep-learning	540	64	8.44
getify/You-Dont-Know-JS	538	40	13.45
hankcs/HanLP	533	83	6.42
google/python-fire	531	18	29.50
hanxiao/bert-as-service	528	54	9.78
tesseract-ocr/tesseract	527	47	11.21
binhnguyennus/awesome-scalability	527	26	20.27
huggingface/pytorch-pretrained-BERT	527	62	8.50
pytorch/fairseq	524	78	6.72
prakhar1989/awesome-courses	520	67	7.76
RaRe-Technologies/gensim	520	75	6.93
Avik-Jain/100-Days-Of-ML-Code	519	32	16.22
scutan90/DeepLearning-500-questions	517	68	7.60
facebook/react	515	57	9.04
norvig/pytudes	513	35	14.66
streamlit/streamlit	510	12	42.50
caesar0301/awesome-public-datasets	509	56	9.09
google/jax	507	15	33.80
kdn251/interviews	507	37	13.70
github/gitignore	503	108	4.66
mr-mig/every-programmer-should-know	499	21	23.76
microsoft/DeepSpeed	498	16	31.12
Hack-with-Github/Awesome-Hacking	492	37	13.30
scrapy/scrapy	492	56	8.79
sdmg15/Best-websites-a-programmer-should-visit	489	24	20.38
torvalds/linux	488	59	8.27
deepmind/sonnet	488	25	19.52
tensorflow/nmt	486	62	7.84
google/sentencepiece	486	27	18.00
faif/python-patterns	486	54	9.00
satwikkansal/wtfpython	485	20	24.25
fchollet/deep-learning-with-python-notebooks	485	47	10.32
deepfakes/faceswap	485	57	8.51
ujjwalkarn/Machine-Learning-Tutorials	483	45	10.73
tensorflow/magenta	481	51	9.43
3b1b/manim	481	19	25.32
google/seq2seq	480	50	9.60
robbyrussell/oh-my-zsh	478	46	10.39
keon/algorithms	478	34	14.06
fxsjy/jieba	477	87	5.48
CorentinJ/Real-Time-Voice-Cloning	477	46	10.37