neat VS AgentFormer

Compare neat vs AgentFormer and see what are their differences.

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving (by autonomousvision)
autonomous-driving imitation-learning implicit-representations birds-eye-view iccv2021
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AgentFormer

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting". (by Khrylx)
trajectory-prediction trajectory-forecasting multi-agent-forecasting Transformer iccv2021 Pytorch Deep Learning autonomous-driving
Source Code
ye-yuan.com
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neat AgentFormer
1 1
293 243
2.0% -
0.0 0.0
over 1 year ago 6 months 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.

neat

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

AgentFormer

Posts with mentions or reviews of AgentFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-20.

What are some alternatives?

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

tianshou - An elegant PyTorch deep reinforcement learning library.

XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI

imitation - Clean PyTorch implementations of imitation and reward learning algorithms

FBCNN - Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

waymo-motion-prediction-challenge-2022-multipath-plus-plus - Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

PIE - Annotations for Pedestrian Intention Estimation (PIE) dataset

neat vs tianshou AgentFormer vs XVFI neat vs imitation AgentFormer vs FBCNN neat vs restyle-encoder AgentFormer vs transformers neat vs DI-drive AgentFormer vs waymo-motion-prediction-challenge-2022-multipath-plus-plus AgentFormer vs PIE