AMRBART
Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022 (by goodbai-nlp)
XPretrain
Multi-modality pre-training (by microsoft)
AMRBART | XPretrain | |
---|---|---|
1 | 1 | |
89 | 439 | |
- | 0.2% | |
2.8 | 1.0 | |
24 days ago | 14 days 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.
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.
AMRBART
Posts with mentions or reviews of AMRBART.
We have used some of these posts to build our list of alternatives
and similar projects.
XPretrain
Posts with mentions or reviews of XPretrain.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-23.
-
CVPR 2024 Datasets and Benchmarks - Part 1: Datasets
It was created by curating 3.8 million high-resolution videos from the publicly available HD-VILA-100M dataset. The dataset is created following these three steps:
What are some alternatives?
When comparing AMRBART and XPretrain you can also consider the following projects:
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
STEP - Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.