Stock-Prediction-Models VS CryptoGPU

Compare Stock-Prediction-Models vs CryptoGPU and see what are their differences.

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Stock-Prediction-Models CryptoGPU
215 2
6,620 16
- -
0.0 0.0
about 1 year ago over 1 year ago
Jupyter Notebook Cuda
Apache License 2.0 -
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-Models

Posts with mentions or reviews of Stock-Prediction-Models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

CryptoGPU

Posts with mentions or reviews of CryptoGPU. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

What are some alternatives?

When comparing Stock-Prediction-Models and CryptoGPU you can also consider the following projects:

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

SectorTradingAlgorithm

Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.

ubique - A mathematical and quantitative library for Javascript and Node.js

SectorTradingAlgorithm

Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

ent.hpp - A header-only library that applies various tests to sequences of bytes stored in files and reports the results of those tests. The class is useful for evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest.

trading-bot - Stock Trading Bot using Deep Q-Learning