FinRL VS mac

Compare FinRL vs mac and see what are their differences.

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

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.

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.

What are some alternatives?

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

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

wireproxy - Wireguard client that exposes itself as a socks5 proxy

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

GPortfolio - Creating an automatic portfolio based on Github profile

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

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

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

ExIrc - IRC client adapter for Elixir projects

Deep-Hedging

asn - IP-to-AS-to-ASname lookup 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]

socket - Socket wrapping for Elixir.