bulbea VS stock-prediction-deep-neural-learning

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

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bulbea stock-prediction-deep-neural-learning
97 44
1,969 431
- -
0.0 7.1
over 3 years ago 4 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

bulbea

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

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.

What are some alternatives?

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

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.

mplfinance - Financial Markets Data Visualization using Matplotlib

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.

dm-haiku - JAX-based neural network library

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

easyesn - Python library for Reservoir Computing using Echo State Networks

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

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

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

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.

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

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