Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Ml Projects	243	4 years ago	n,ull
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Repo 2016	105	6 years ago			Python
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Sequence To Sequence Learning Of Financial Time Series In Algorithmic Trading	61	3 years ago		cc-by-4.0	TeX
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
Time Series Analysis And Forecasting With Python	53	5 months ago		mit	Jupyter Notebook
Time Series Analysis and Forecasting in Python
A Deep Learning Based Illegal Insider Trading Detection And Prediction Technique In Stock Market	42	5 years ago			Python
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf
Wind Energy Prediction Using Lstm	25	6 years ago			Jupyter Notebook
Time Series Analysis using LSTM for Wind Energy Prediction.
Energy Prediction	16	a year ago	9	gpl-3.0	Python
What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?
Btc_rl_trading_bot	14	2 years ago	1	mit	Jupyter Notebook
A trading bitcoin agent was created with deep reinforcement learning implementations.
Predicting The Closing Stock Price Of Apple Using Lstm	10	a year ago		apache-2.0	Jupyter Notebook
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Snail	8	6 months ago		mit	Python
SuperNova Artificial Inference by Lstm neural networks (SNAIL)

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Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

most recent commit 4 years ago

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

most recent commit 6 years ago

Sequence To Sequence Learning Of Financial Time Series In Algorithmic Trading ⭐ 61

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

most recent commit 3 years ago

Time Series Analysis And Forecasting With Python ⭐ 53

Time Series Analysis and Forecasting in Python

most recent commit 5 months ago

A Deep Learning Based Illegal Insider Trading Detection And Prediction Technique In Stock Market ⭐ 42

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using

most recent commit 5 years ago

Wind Energy Prediction Using Lstm ⭐ 25

Time Series Analysis using LSTM for Wind Energy Prediction.

most recent commit 6 years ago

Energy Prediction ⭐ 16

What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?

most recent commit a year ago

Btc_rl_trading_bot ⭐ 14

A trading bitcoin agent was created with deep reinforcement learning implementations.

most recent commit 2 years ago

Predicting The Closing Stock Price Of Apple Using Lstm ⭐ 10

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.

most recent commit a year ago

Snail ⭐ 8

SuperNova Artificial Inference by Lstm neural networks (SNAIL)

most recent commit 6 months ago

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