cryptos VS stock-prediction-deep-neural-learning

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

cryptos

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes (by karpathy)
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cryptos stock-prediction-deep-neural-learning
1 44
1,326 434
- -
1.8 7.1
almost 3 years ago 5 months ago
Jupyter Notebook Jupyter Notebook
- 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.

cryptos

Posts with mentions or reviews of cryptos. 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 cryptos and stock-prediction-deep-neural-learning you can also consider the following projects:

aeternity - æternity blockchain - scalable blockchain for the people - smart contracts, state channels, names, tokens

mplfinance - Financial Markets Data Visualization using Matplotlib

coda - Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security. [Moved to: https://github.com/MinaProtocol/mina]

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

dm-haiku - JAX-based neural network library

easyesn - Python library for Reservoir Computing using Echo State Networks

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

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.

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

Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.

FinanceDataReader - Financial data reader [Moved to: https://github.com/financedata-org/FinanceDataReader]

yflive - Live Data Streamer for Yahoo! Finance