Trajformer
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020) (by Manojbhat09)
community
Stores documents used by the TensorFlow developer community (by tensorflow)
| Trajformer | community | |
|---|---|---|
| 2 | 3 | |
| 38 | 1,240 | |
| - | 0.0% | |
| 0.0 | 5.2 | |
| over 2 years ago | 7 days ago | |
| Python | C++ | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
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.
Trajformer
Posts with mentions or reviews of Trajformer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-10.
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[D] Calling out the authors of 'Trajformer' paper for claiming they published code but never doing it
The author(s) just pushed a new update on the project Github, promising to release their code by NIPS deadline.
community
Posts with mentions or reviews of community.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-15.
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MetalDiffusion - Stable Diffusion for Intel MacOS and Silicon MacOS
I tried digging through the TensorFlow documentation and I feel I need to move in the direction of Pluggable Device, but I am woefully short of knowledge and my brain is on fire :)
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[D] Calling out the authors of 'Trajformer' paper for claiming they published code but never doing it
Most things leveraging CUDA/CuDNN/CuBLAS without explicit effort to keep it deterministic. E.g. Convolution and Pooling in PyTorch on the GPU and the same in TensorFlow
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TensorFlow Introduces ‘PluggableDevice’ Architecture To Integrate Accelerators (GPUs, TPUs) With TensorFlow Without Making Any Changes In The TensorFlow Code
TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code. PluggableDevice, as the name suggests, provides plug-in options for registering the devices with TensorFlow. It is constructed using the StreamExecutor C API and builds on the work done for Modular TensorFlow. In TF 2.5, the PluggableDevice feature is available.
What are some alternatives?
When comparing Trajformer and community you can also consider the following projects:
citysim - Example city simulation for autonomous vehicles in Gazebo Classic.
stable-diffusion-tensorflow-IntelMetal - Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work [Moved to: https://github.com/soten355/MetalDiffusion]
CMU-DATF
CASD
waymo-motion-prediction-challenge-2022-multipath-plus-plus - Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++