Awesome-System-for-Machine-Learning VS awesome-deep-trading

Compare Awesome-System-for-Machine-Learning vs awesome-deep-trading and see what are their differences.

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Awesome-System-for-Machine-Learning awesome-deep-trading
1 37
2,433 1,395
- -
4.5 0.0
16 days ago 9 months ago
MIT License MIT License
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.

Awesome-System-for-Machine-Learning

Posts with mentions or reviews of Awesome-System-for-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

awesome-deep-trading

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

What are some alternatives?

When comparing Awesome-System-for-Machine-Learning and awesome-deep-trading you can also consider the following projects:

Awesome-Learning-with-Label-Noise - A curated list of resources for Learning with Noisy Labels

OctoBot - Open source crypto trading bot

machine-learning-roadmap - Roadmap, guides and other educational content to help developers grow in their careers in the field of Machine Learning.

deep-RL-trading - playing idealized trading games with deep reinforcement learning

cpsat-primer - Using and Understanding OR-Tools' CP-SAT: A Primer and Cheat Sheet

wolfinch - Wolfinch is your friendly trader Bot written in Python

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.