-
etl-with-airflow Public
Forked from gtoonstra/etl-with-airflowETL best practices with airflow, with examples
-
machine-learning-mindmap Public
Forked from dformoso/machine-learning-mindmapA mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Apache License 2.0 UpdatedMay 30, 2020 -
-
docker-stacks Public
Forked from jupyter/docker-stacksReady-to-run Docker images containing Jupyter applications
Shell Other UpdatedJun 2, 2019 -
zipline Public
Forked from quantopian/ziplineZipline, a Pythonic Algorithmic Trading Library
Python Apache License 2.0 UpdatedMay 20, 2019 -
FeatureSelectionGA Public
Forked from kaushalshetty/FeatureSelectionGAFeature Selection using Genetic Algorithm (DEAP Framework)
Python UpdatedFeb 18, 2019 -
ascii-transfer Public
Forked from shimniok/ascii-transferSimple ascii transfer protocol for sending files to/from e.g., a robot. Think Kermit or Zmodem but super simple.
C++ MIT License UpdatedDec 24, 2018 -
feature-engineering-and-feature-selection Public
Forked from Yimeng-Zhang/feature-engineering-and-feature-selectionA Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Jupyter Notebook UpdatedDec 15, 2018 -
awesome-feature-engineering Public
Forked from aikho/awesome-feature-engineeringA curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Other UpdatedOct 26, 2018 -
A unified approach to explain the output of any machine learning model.
Jupyter Notebook MIT License UpdatedOct 3, 2018 -
Develop about 200 alpha factors from securities report etc, Grid Search/Random Search/Particle Swarm Optimization to improve factors performance
-
machine-learning-yearning Public
Forked from xiaqunfeng/machine-learning-yearningTranslation of <Machine Learning Yearning> by Andrew NG
UpdatedJun 9, 2018 -
BitcoinExchangeFH Public
Forked from BitcoinExchangeFH/BitcoinExchangeFHCryptocurrency exchange market data feed handler
-
KalmanFilter Public
Forked from icezerowjj/KalmanFilterThis project is the use of Kalman filter in estimating stock betas
C++ MIT License UpdatedFeb 15, 2018 -
-
deep_trader Public
Forked from deependersingla/deep_traderThis project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great J…
-
-
Barra-Model Public
Forked from changshun/Barra-ModelAn internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
Python UpdatedDec 20, 2017 -
-
Neural-Network-with-Financial-Time-Series-Data Public
Forked from BenjiKCF/Neural-Net-with-Financial-Time-Series-DataThis solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Jupyter Notebook UpdatedDec 2, 2017 -
Test-stock-prediction-algorithms Public
Forked from timestocome/Test-stock-prediction-algorithmsUse deep learning, genetic programming and other methods to predict stock and market movements
Python MIT License UpdatedDec 1, 2017 -
-
-
-
Deep-Trading Public
Forked from Rachnog/Deep-TradingAlgorithmic trading with deep learning experiments
OpenEdge ABL UpdatedOct 19, 2017 -
-
Deep-Learning-Applications-on-multifactor-stocks-selection Public
Forked from quangan1221/Deep-Learning-Applications-on-multifactor-stocks-selectionJupyter Notebook UpdatedAug 22, 2017 -
-
hadoop-docker Public
Forked from krejcmat/hadoop-dockerDocker container, distributed cluster based on Hadoop.
Shell UpdatedJul 11, 2017 -
LSTM-Neural-Network-for-Time-Series-Prediction Public
Forked from jaungiers/LSTM-Neural-Network-for-Time-Series-PredictionLSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Python UpdatedJun 5, 2017