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
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• kh-kim / stock2vec
  Embedding stocks to vectors based on the price history
  ☆63Updated 8 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• mhamilton723 / pyTrading
  A library for stock market analysis and automated trading, powered by sklearn.
  ☆41Updated 9 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆58Updated 5 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• mvaz / osqf2015
  ☆25Updated 9 years ago
• SamuelePolimi / TreasureBot
  A bot for financial signal
  ☆63Updated 7 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
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆52Updated 8 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 7 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 6 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆73Updated 5 years ago
• PiSimo / DeepChart
  Generate images of neural network achitectures.
  ☆18Updated 7 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆34Updated 8 years ago
• hetong007 / higgsml
  Repository for post higgs-competition model submission
  ☆26Updated 10 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆74Updated 9 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆27Updated 7 years ago
• tobegit3hub / deep_q
  Deep reinforcement learning with TensorFlow
  ☆47Updated 7 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 8 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 6 years ago