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@@ -39,8 +39,7 @@ EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10,2,1,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,,,
Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,,,
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,3/30/21 21:50,958,434,4,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,,,
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,"curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc.
Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes",Deep Learning,3/31/21 6:59,528,135,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4,3/31/21 8:00
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning,3/31/21 6:59,528,135,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4,3/31/21 8:00
trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning,3/31/21 9:46,285,137,1,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active,3,3/31/21 8:00
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning,3/30/21 7:29,319,158,2,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active,3,3/31/21 8:00
deep-RL-trading,https://github.com/golsun/deep-RL-trading,NEW,Deep Learning,3/25/21 17:52,231,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3,3/31/21 8:00
1 name url comment category last_update star_count fork_count contributors_count created_at last_commit repo_path repo_status rating finml_added_date
39 Employee Count SEC Filings https://github.com/healthgradient/sec_employee_information_extraction Data 2/27/21 3:33 10 2 1 6/26/18 23:33 8/14/18 1:31 healthgradient/sec_employee_information_extraction
40 Advanced ML II https://github.com/hudson-and-thames/research More implementations of Financial Machine Learning (De Prado). Data Processing Techniques and Transformations hudson-and-thames/research
41 Advanced ML https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises Exercises too Financial Machine Learning (De Prado). Data Processing Techniques and Transformations 3/30/21 21:50 958 434 4 4/25/18 17:22 1/16/20 17:25 BlackArbsCEO/Adv_Fin_ML_Exercises
42 awesome-deep-trading https://github.com/cbailes/awesome-deep-trading curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes Deep Learning 3/31/21 6:59 528 135 1 11/26/18 3:23 1/1/21 9:41 cbailes/awesome-deep-trading active 4 3/31/21 8:00
trading-bot https://github.com/pskrunner14/trading-bot Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning 3/31/21 9:46 285 137 1 8/13/18 10:44 1/23/20 4:41 pskrunner14/trading-bot active 3 3/31/21 8:00
43 Advanced-Deep-Trading trading-bot https://github.com/Rachnog/Advanced-Deep-Trading https://github.com/pskrunner14/trading-bot notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning 3/30/21 7:29 3/31/21 9:46 319 285 158 137 2 1 2/16/19 21:18 8/13/18 10:44 11/29/20 20:12 1/23/20 4:41 Rachnog/Advanced-Deep-Trading pskrunner14/trading-bot active 3 3/31/21 8:00
44 deep-RL-trading Advanced-Deep-Trading https://github.com/golsun/deep-RL-trading https://github.com/Rachnog/Advanced-Deep-Trading NEW notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning 3/25/21 17:52 3/30/21 7:29 231 319 109 158 1 2 2/25/18 17:41 2/16/19 21:18 12/1/20 22:06 11/29/20 20:12 golsun/deep-RL-trading Rachnog/Advanced-Deep-Trading active 3 3/31/21 8:00
45 FinRL-Library deep-RL-trading https://github.com/AI4Finance-LLC/FinRL-Library https://github.com/golsun/deep-RL-trading NEW Deep Learning 3/31/21 15:40 3/25/21 17:52 1780 231 423 109 22 1 7/26/20 13:18 2/25/18 17:41 3/28/21 13:46 12/1/20 22:06 AI4Finance-LLC/FinRL-Library golsun/deep-RL-trading active 5 3 3/31/21 8:00