imitation VS neat

Compare imitation vs neat and see what are their differences.

imitation

Clean PyTorch implementations of imitation and reward learning algorithms (by HumanCompatibleAI)

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving (by autonomousvision)
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imitation neat
1 1
1,151 293
3.0% 2.0%
7.5 0.0
2 months ago over 1 year ago
Python Python
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.

imitation

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

neat

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

What are some alternatives?

When comparing imitation and neat you can also consider the following projects:

IRL - Algorithms for Inverse Reinforcement Learning

tianshou - An elegant PyTorch deep reinforcement learning library.

DI-engine - OpenDILab Decision AI Engine

restyle-encoder - Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

babyai - BabyAI platform. A testbed for training agents to understand and execute language commands.

DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.

f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020

falken - Falken provides developers with a service that allows them to train AI that can play their games