deep_learning

repo	comment	created_at	last_commit	star_count	repo_status	rating
Stock-Prediction-Models	NEW	12/18/17 10:49	1/5/21 10:31	3584.0	✔️	⭐x5
AI Trading	AI to predict stock market movements.	1/9/19 8:02	2/11/19 16:32	2852.0	✖️	⭐x5
FinRL-Library	NEW	7/26/20 13:18	3/28/21 13:46	1780.0	✔️	⭐x5
Deep Learning IV	Bulbea: Deep Learning based Python Library.	3/9/17 6:11	3/19/17 7:42	1448.0	✔️	⭐x5
RLTrader	NEW	4/27/19 18:35	10/17/19 16:25	1300.0	✔️	⭐x5
Deep Learning III	Algorithmic trading with deep learning experiments.	6/18/16 18:23	8/7/18 15:24	1262.0	✖️	⭐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	542.0	✔️	⭐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	528.0	✔️	⭐x4
Neural Network	Neural networks to predict stock prices.	9/10/18 6:34	11/21/18 7:39	488.0	✖️	⭐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	1198.0	✔️	⭐x4
crypto-rl	NEW	6/21/18 1:06	11/5/20 11:08	339.0	✔️	⭐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	287.0	✖️	⭐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	285.0	✔️	⭐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	251.0	✔️	⭐x3
deep-RL-trading	NEW	2/25/18 17:41	12/1/20 22:06	231.0	✔️	⭐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	218.0	✔️	⭐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	140.0	✔️	⭐x3
Deep-Reinforcement-Learning-in-Trading	NEW	5/11/18 0:52	10/26/19 14:22	137.0	✔️	⭐x3
AutomatedStockTrading-DeepQ-Learning	NEW	2/23/19 12:01	2/25/20 18:16	134.0	✔️	⭐x3
DQN-DDPG_Stock_Trading	NEW	9/19/18 3:17	11/26/20 16:58	134.0	✔️	⭐x3
LTSM GRU	Stock Market Forecasting using LSTM\GRU.	5/13/18 2:39	2/25/19 0:26	11.0	✔️	⭐x3