ai-economist VS 0xDeCA10B

Compare ai-economist vs 0xDeCA10B and see what are their differences.

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist). (by salesforce)
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ai-economist 0xDeCA10B
5 3
1,060 548
- 1.6%
0.0 0.0
8 months ago 10 months ago
Python Python
BSD 3-clause "New" or "Revised" 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.

ai-economist

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

0xDeCA10B

Posts with mentions or reviews of 0xDeCA10B. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-21.

What are some alternatives?

When comparing ai-economist and 0xDeCA10B you can also consider the following projects:

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

pyteal - Algorand Smart Contracts in Python

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

PySyft - Perform data science on data that remains in someone else's server

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Lixur - Lixur is an open-sourced project that seeks to build a scalable, feeless, decentralized, quantum-secure, and easy-to-use blockchain with smart, and intelligent (A.I.) contract functionality.

MLflow - Open source platform for the machine learning lifecycle

river - 🌊 Online machine learning in Python

tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses