scenic
LFattNet
| scenic | LFattNet | |
|---|---|---|
| 5 | 1 | |
| 3,010 | 53 | |
| 3.9% | - | |
| 8.6 | 0.0 | |
| 7 days ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
scenic
-
Vid2Seq: A pretrained visual language model for describing multi-event videos
Anyone figured out how to run this against a video?
https://github.com/google-research/scenic/tree/main/scenic/p... has an example showing how to "train Vid2Seq on YouCook2" using "python -m scenic.projects.vid2seq.main", but I couldn't see the recipe for using it against a video to return a description.
-
[D] SE for machine learning reaserch
There are a few libraries/frameworks that one can use and allow to reuse the same code for datasets, logging, training loop etc.... . E.g. Lightning or Scenic. Maybe you can use one of these or at least get some inspiration for your own code.
-
Google Research Proposes an Artificial Intelligence (AI) Model to Utilize Vision Transformers on Videos
Quick Read: https://www.marktechpost.com/2022/11/25/google-research-proposes-an-artificial-intelligence-ai-model-to-utilize-vision-transformers-on-videos/ Paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Arnab\_ViViT\_A\_Video\_Vision\_Transformer\_ICCV\_2021\_paper.pdf Github link: https://github.com/google-research/scenic/tree/main/scenic/projects/vivit
-
Google Research Introduces ‘SCENIC’: An Open-Source JAX Library For Computer Vision Research
GitHub: https://github.com/google-research/scenic
-
[R] Google Open-Sources SCENIC: A JAX Library for Rapid Computer Vision Model Prototyping and Cutting-Edge Research
The SCENIC code, etc., has been open-sourced on the project’s GitHub. The paper SCENIC: A JAX Library for Computer Vision Research and Beyond is on arXiv.
LFattNet
What are some alternatives?
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
manga-ocr - Optical character recognition for Japanese text, with the main focus being Japanese manga
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
EasyCV - An all-in-one toolkit for computer vision
elegy - A High Level API for Deep Learning in JAX
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
asreview - Active learning for systematic reviews
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers