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    • Nettacker

      Public
      Automated Penetration Testing Framework
      Python
      Apache License 2.0
      755000Updated Jun 18, 2021Jun 18, 2021
    • HTML
      GNU General Public License v3.0
      0000Updated Jun 13, 2021Jun 13, 2021
    • A list of online resources for quantitative modeling, trading, portfolio management
      Apache License 2.0
      572000Updated Mar 6, 2019Mar 6, 2019
    • Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
      Python
      MIT License
      951000Updated Feb 25, 2019Feb 25, 2019
    • In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use L…
      1.7k000Updated Feb 12, 2019Feb 12, 2019
    • In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
      Jupyter Notebook
      125000Updated Feb 3, 2019Feb 3, 2019
    • Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
      Jupyter Notebook
      179000Updated Jan 25, 2019Jan 25, 2019
    • PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
      Python
      GNU General Public License v3.0
      750000Updated Nov 28, 2018Nov 28, 2018
    • DSD

      Public
      Downloads Stock Data
      Python
      4000Updated Nov 3, 2018Nov 3, 2018
    • Entrypoint for all backend cape webservices
      Python
      Apache License 2.0
      38000Updated Oct 24, 2018Oct 24, 2018
    • RGAN

      Public
      Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
      Python
      MIT License
      183000Updated Oct 7, 2018Oct 7, 2018
    • Stock Market Prediction Using Unsupervised Features
      Python
      26000Updated Sep 15, 2018Sep 15, 2018
    • MIDAS

      Public
      Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
      Jupyter Notebook
      Apache License 2.0
      28000Updated Aug 22, 2018Aug 22, 2018
    • Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using Keras and TensorFlow.
      Jupyter Notebook
      Apache License 2.0
      42000Updated Aug 18, 2018Aug 18, 2018
    • This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
      Python
      83000Updated Aug 8, 2018Aug 8, 2018
    • Jupyter Notebook
      91000Updated Jul 21, 2018Jul 21, 2018
    • open-source feature selection repository in python (DMML Lab@ASU)
      Python
      GNU General Public License v2.0
      447000Updated Jul 20, 2018Jul 20, 2018
    • auto_ml

      Public
      Automated machine learning for analytics & production
      Python
      MIT License
      311000Updated Jul 17, 2018Jul 17, 2018
    • Latest Data Science Materials
      MIT License
      9000Updated Jun 28, 2018Jun 28, 2018
    • AutoFolio

      Public
      Python
      BSD 2-Clause "Simplified" License
      11000Updated Jun 25, 2018Jun 25, 2018
    • This is a comprehensive guide on how you can automate your feature engineering process.
      Jupyter Notebook
      GNU General Public License v3.0
      9000Updated Jun 25, 2018Jun 25, 2018
    • automated feature engineering
      Python
      BSD 3-Clause "New" or "Revised" License
      879000Updated Jun 23, 2018Jun 23, 2018
    • Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
      Python
      MIT License
      26000Updated Jun 21, 2018Jun 21, 2018
    • These are coding solutions for problems I study while preparing for technical interviews at tech companies
      C++
      198000Updated Jun 21, 2018Jun 21, 2018
    • Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
      Jupyter Notebook
      Apache License 2.0
      1.6k000Updated Jun 19, 2018Jun 19, 2018
    • uci-data

      Public
      Script for converting UCI Machine Learning Repository data into a common format
      Julia
      MIT License
      14000Updated Jun 18, 2018Jun 18, 2018
    • Computation using data flow graphs for scalable machine learning
      C++
      Apache License 2.0
      74k000Updated Jun 17, 2018Jun 17, 2018
    • nasbot

      Public
      Neural Architecture Search with Bayesian Optimisation and Optimal Transport
      Python
      MIT License
      26000Updated Jun 16, 2018Jun 16, 2018
    • A deep learning toolbox to decode raw time-domain EEG.
      Python
      BSD 3-Clause "New" or "Revised" License
      155000Updated Jun 12, 2018Jun 12, 2018
    • Making predictions on prices in the Deutsche Börse Public Dataset using neural networks
      Jupyter Notebook
      MIT License
      46000Updated Jun 11, 2018Jun 11, 2018