mac VS FinRL

Compare mac vs FinRL and see what are their differences.

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mac FinRL
2 44
562 9,093
0.0% 1.7%
5.0 8.8
6 months ago 7 days ago
TypeScript Jupyter Notebook
Creative Commons Attribution Share Alike 4.0 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.

mac

Posts with mentions or reviews of mac. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-27.

FinRL

Posts with mentions or reviews of FinRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

What are some alternatives?

When comparing mac and FinRL you can also consider the following projects:

wireproxy - Wireguard client that exposes itself as a socks5 proxy

tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

GPortfolio - Creating an automatic portfolio based on Github profile

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

sha256_project - The SHA-256 Project, developed for NYU Tandon's Applied Cryptography course

FinRL-Meta - FinRL­-Meta: Dynamic datasets and market environments for FinRL.

ExIrc - IRC client adapter for Elixir projects

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

asn - IP-to-AS-to-ASname lookup for Elixir

Deep-Hedging

socket - Socket wrapping for Elixir.

Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 - Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star. [Moved to: https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020]