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deep_learning
bin-yang-algotune edited this page Apr 6, 2021
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repo | comment | created_at | last_commit | star_count | repo_status | rating |
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Stock-Prediction-Models | NEW | 12/18/17 10:49 | 1/5/21 10:31 | 3599.0 | ✔️ | ⭐x5 |
AI Trading | AI to predict stock market movements. | 1/9/19 8:02 | 2/11/19 16:32 | 2857.0 | ✖️ | ⭐x5 |
FinRL-Library | NEW | 7/26/20 13:18 | 4/3/21 23:21 | 1807.0 | ✔️ | ⭐x5 |
Deep Learning IV | Bulbea: Deep Learning based Python Library. | 3/9/17 6:11 | 3/19/17 7:42 | 1451.0 | ✖️ | ⭐x5 |
RLTrader | NEW | 4/27/19 18:35 | 10/17/19 16:25 | 1304.0 | ✔️ | ⭐x5 |
Deep Learning III | Algorithmic trading with deep learning experiments. | 6/18/16 18:23 | 8/7/18 15:24 | 1264.0 | ✖️ | ⭐x5 |
Personae | NEW | 3/10/18 11:22 | 9/2/18 17:21 | 1142.0 | ✖️ | ⭐x5 |
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 | NEW | 7/26/20 13:12 | 1/21/21 18:11 | 547.0 | ✔️ | ⭐x4 |
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 | 11/26/18 3:23 | 1/1/21 9:41 | 541.0 | ✔️ | ⭐x4 |
Neural Network | Neural networks to predict stock prices. | 9/10/18 6:34 | 11/21/18 7:39 | 489.0 | ✖️ | ⭐x4 |
Deep Learning | Technical experimentations to beat the stock market using deep learning. | 12/12/16 2:15 | 3/4/17 8:37 | 427.0 | ✖️ | ⭐x4 |
LTSM Recurrent | OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. | 10/7/18 3:58 | 8/3/19 9:00 | 1199.0 | ✔️ | ⭐x4 |
crypto-rl | Retrieve limit order book level data from coinbase pro and bitfinex -> record in arctic timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) (keras-rl)[https://github.com/keras-rl/keras-rl] to create agents and uses (openai gym)[https://gym.openai.com/] to implement POMDP (partially observable markov decision process) | 6/21/18 1:06 | 11/5/20 11:08 | 345.0 | ✔️ | ⭐x3 |
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 for calculating return stats and 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. | 2/16/19 21:18 | 11/29/20 20:12 | 319.0 | ✔️ | ⭐x3 |
BitcoinForecast | NEW | 3/10/17 10:52 | 6/11/18 8:07 | 288.0 | ✖️ | ⭐x3 |
trading-bot | Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based here and uses tensorflow/keras. Interesting helper python libraries used here are tqdm for console based progress bar and altair for declarative visualization in python | 8/13/18 10:44 | 1/23/20 4:41 | 286.0 | ✔️ | ⭐x3 |
DeepLearningInFinance | NEW | 8/21/17 16:00 | 8/21/17 17:23 | 266.0 | ✖️ | ⭐x3 |
Deep-Learning-Machine-Learning-Stock | NEW | 9/29/18 23:38 | 3/18/21 3:16 | 264.0 | ✔️ | ⭐x3 |
deep-RL-trading | NEW | 2/25/18 17:41 | 12/1/20 22:06 | 233.0 | ✔️ | ⭐x3 |
ARIMA-LTSM Hybrid | Hybrid model to predict future price correlation coefficients of two assets. | 8/5/18 2:13 | 10/1/18 11:25 | 219.0 | ✖️ | ⭐x3 |
trading-rl | NEW | 4/22/19 10:03 | 9/28/20 9:07 | 179.0 | ✔️ | ⭐x3 |
Deep Learning II | Tensorflow Regression. | 7/12/16 12:56 | 2/16/18 2:43 | 174.0 | ✖️ | ⭐x3 |
Deep-Reinforcement-Stock-Trading | NEW | 5/19/19 22:20 | 9/27/20 19:22 | 141.0 | ✔️ | ⭐x3 |
Deep-Reinforcement-Learning-in-Trading | NEW | 5/11/18 0:52 | 10/26/19 14:22 | 137.0 | ✔️ | ⭐x3 |
DQN-DDPG_Stock_Trading | NEW | 9/19/18 3:17 | 11/26/20 16:58 | 135.0 | ✔️ | ⭐x3 |
AutomatedStockTrading-DeepQ-Learning | NEW | 2/23/19 12:01 | 2/25/20 18:16 | 134.0 | ✔️ | ⭐x3 |
LTSM GRU | Stock Market Forecasting using LSTM\GRU. | 5/13/18 2:39 | 2/25/19 0:26 | 11.0 | ✖️ | ⭐x3 |