Alternatives and similar repositories for stock2vec:

Users that are interested in stock2vec are comparing it to the libraries listed below

• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• mhamilton723 / pyTrading
  A library for stock market analysis and automated trading, powered by sklearn.
  ☆41Updated 9 years ago
• mvaz / osqf2015
  ☆25Updated 9 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆58Updated 5 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 6 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• TimSalimans / HiggsML
  My second place solution to the Higgs Boson Machine Learning Challenge
  ☆82Updated 10 years ago
• threecourse / kaggle-coupon-purchase-prediction
  ☆23Updated 8 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆24Updated 10 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• deependersingla / deep_portfolio
  ☆168Updated 7 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 6 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆34Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆27Updated 8 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆57Updated 6 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• jcbagneris / fms-jcb
  FMS, an agent-based Financial Market Simulator
  ☆104Updated 12 years ago
• kh-kim / stock2vec
  Embedding stocks to vectors based on the price history
  ☆63Updated 8 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 8 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago