deep_learning

repo	comment	created_at	last_commit	star_count	repo_status	rating
Stock-Prediction-Models	very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using BERT)	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	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 use 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	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	predecessor to tensortrade uses open api gym and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using Optuna etc.	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	implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from rqalpha which is a python backtest engine and have a nice docker image to run training/testing	3/10/18 11:22	9/2/18 17:21	1142.0	✖️	⭐x5
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 focuses on ensemble.	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 to create agents and uses openai gym 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	RNN model to predict short term price movement (in this case BTC for the next 9 minutes) deepchart is used to visualize the model	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	Based on a talk Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks.	8/21/17 16:00	8/21/17 17:23	266.0	✖️	⭐x3
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	9/29/18 23:38	3/18/21 3:16	264.0	✔️	⭐x3
deep-RL-trading	trading game comparing RNN vs CNN vs MLP based on paper	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	Deep reinforcement learning for financial trading using gym and keras-rl on FX dataset (EURUSD) not actively maintained	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	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 for portfolio stats	5/19/19 22:20	9/27/20 19:22	141.0	✔️	⭐x3
Deep-Reinforcement-Learning-in-Trading	Deep reinforcement learning for trading leveraging openai gym framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article here	5/11/18 0:52	10/26/19 14:22	137.0	✔️	⭐x3
DQN-DDPG_Stock_Trading	merged into FinRL library and uses gym and implementation of DQN	9/19/18 3:17	11/26/20 16:58	135.0	✖️	⭐x3
AutomatedStockTrading-DeepQ-Learning	cornerstone project repo for Udacity nanodegree program Become a machine learning engineer and focus on trading using deep q learning. Good explanation on design choices in the report	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