From c974ff6fe248ef764dff2301d6a32f3a3829ff58 Mon Sep 17 00:00:00 2001 From: Bin Yang Date: Tue, 6 Apr 2021 19:21:39 -0400 Subject: [PATCH] complete review of deep learning section --- raw_data/url_list.csv | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/raw_data/url_list.csv b/raw_data/url_list.csv index 9c59d11..afe3c96 100644 --- a/raw_data/url_list.csv +++ b/raw_data/url_list.csv @@ -57,15 +57,15 @@ trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning 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,4/3/21 19:52,541,137,1,11/26/18 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,4/2/21 18:45,286,139,1,8/13/18 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 -FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning,4/4/21 1:53,1807,433,22,7/26/20 13:18,4/3/21 23:21,AI4Finance-LLC/FinRL-Library,active,5,3/31/21 8:00 -Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,NEW,Deep Learning,4/3/21 10:08,547,240,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4,3/31/21 8:00 -deep-RL-trading,https://github.com/golsun/deep-RL-trading,NEW,Deep Learning,4/1/21 12:51,233,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3,3/31/21 8:00 -AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,NEW,Deep Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3,3/31/21 8:00 -Personae,https://github.com/Ceruleanacg/Personae,NEW,Deep Learning,3/31/21 15:38,1142,332,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5,3/31/21 8:00 -Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,NEW,Deep Learning,4/3/21 22:50,141,42,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3,3/31/21 8:00 -Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,NEW,Deep Learning,4/4/21 1:27,264,94,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3,3/31/21 8:00 -BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,NEW,Deep Learning,4/3/21 8:03,288,127,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3,3/31/21 8:00 -DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,NEW,Deep Learning,4/3/21 21:48,135,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3,3/31/21 8:00 +FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning,4/4/21 1:53,1807,433,22,7/26/20 13:18,4/3/21 23:21,AI4Finance-LLC/FinRL-Library,active,5,3/31/21 8:00 +Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning,4/3/21 10:08,547,240,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4,3/31/21 8:00 +deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning,4/1/21 12:51,233,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3,3/31/21 8:00 +AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3,3/31/21 8:00 +Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning,3/31/21 15:38,1142,332,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5,3/31/21 8:00 +Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning,4/3/21 22:50,141,42,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3,3/31/21 8:00 +Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning,4/4/21 1:27,264,94,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3,3/31/21 8:00 +BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning,4/3/21 8:03,288,127,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3,3/31/21 8:00 +DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning,4/3/21 21:48,135,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3,3/31/21 8:00 Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1,3,1,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,inactive,, Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4,6,1,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,inactive,, Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,3/18/21 3:47,8,8,1,2/9/16 5:30,3/18/21 3:47,broughtj/Fin6470,active,,