Alternatives and similar repositories for stock2vec

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

• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• mvaz / osqf2015
  ☆25Updated 10 years ago
• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 7 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆40Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• mhamilton723 / pyTrading
  A library for stock market analysis and automated trading, powered by sklearn.
  ☆43Updated 10 years ago
• talolard / MarketVectors
  Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
  ☆256Updated 8 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 8 years ago
• jcbagneris / fms-jcb
  FMS, an agent-based Financial Market Simulator
  ☆104Updated 13 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 7 years ago
• dmcgarry / Default_Loan_Prediction
  Code for Kaggle's Default Loan Prediction - Imperial College London challenge.
  ☆29Updated 11 years ago
• automl / ChaLearn_Automatic_Machine_Learning_Challenge_2015
  ☆11Updated 9 years ago
• fluency03 / sequence-rnn-py
  Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras
  ☆29Updated 9 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 6 years ago
• ilkarman / NLP-Sentiment
  Various NLP methods (in python) to perform sentiment analysis
  ☆77Updated 9 years ago
• lucaseustaquio / gefcom-2012-wind-track
  GEFCom 2012 Wind Forecast - 1st place
  ☆24Updated 12 years ago
• llSourcell / How-to-Use-Tensorflow-for-Time-Series-Live-
  ☆117Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• mbinkowski / nntimeseries
  ☆209Updated 7 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 6 years ago
• deependersingla / deep_portfolio
  ☆171Updated 8 years ago
• kh-kim / stock2vec
  Embedding stocks to vectors based on the price history
  ☆64Updated 9 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 8 years ago
• PiSimo / DeepChart
  Generate images of neural network achitectures.
  ☆19Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago