stock-prediction-deep-neural-learning VS bulbea

Compare stock-prediction-deep-neural-learning vs bulbea and see what are their differences.

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stock-prediction-deep-neural-learning bulbea
44 97
431 1,969
- -
7.1 0.0
4 months ago over 3 years ago
Jupyter Notebook Python
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

stock-prediction-deep-neural-learning

Posts with mentions or reviews of stock-prediction-deep-neural-learning. We have used some of these posts to build our list of alternatives and similar projects.

bulbea

Posts with mentions or reviews of bulbea. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stock-prediction-deep-neural-learning and bulbea you can also consider the following projects:

mplfinance - Financial Markets Data Visualization using Matplotlib

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

dm-haiku - JAX-based neural network library

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

easyesn - Python library for Reservoir Computing using Echo State Networks

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

MachineLearningStocks - Using python and scikit-learn to make stock predictions

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models