AgentFormer VS waymo-motion-prediction-challenge-2022-multipath-plus-plus

Compare AgentFormer vs waymo-motion-prediction-challenge-2022-multipath-plus-plus and see what are their differences.

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AgentFormer waymo-motion-prediction-challenge-2022-multipath-plus-plus
1 1
243 343
- -
0.0 2.7
7 months ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

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.

waymo-motion-prediction-challenge-2022-multipath-plus-plus

Posts with mentions or reviews of waymo-motion-prediction-challenge-2022-multipath-plus-plus. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AgentFormer and waymo-motion-prediction-challenge-2022-multipath-plus-plus you can also consider the following projects:

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

M2I - M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

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

Automatic-Parking - Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

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

Trajformer - Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

PIE - Annotations for Pedestrian Intention Estimation (PIE) dataset