timm-flutter-pytorch-lite-blogpost
poolformer
| timm-flutter-pytorch-lite-blogpost | poolformer | |
|---|---|---|
| 7 | 3 | |
| 36 | 1,226 | |
| - | 0.0% | |
| 2.4 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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timm-flutter-pytorch-lite-blogpost
- how to deploy object detection and image classification model in flutter?
- PyTorch at the Edge: Deploy 964 TIMM Models on Android with TorchScript
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PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
Blog - https://dicksonneoh.com/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/
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PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter
GitHub Repo - https://github.com/dnth/timm-flutter-pytorch-lite-blogpost
poolformer
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Researchers from Sea AI Lab and National University of Singapore Introduce ‘PoolFormer’: A Derived Model from MetaFormer for Computer Vision Tasks
GitHub: https://github.com/sail-sg/poolformer
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[D] Are Image Transformers Overhyped? "MetaFormer is all you need" explained (5-minute summary by Casual GAN Papers)
arxiv / code
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[P] Fine-tuning the new PoolFormer (MetaFormer) model on a Kaggle Competitions Dataset
Code for https://arxiv.org/abs/2111.11418 found: https://github.com/sail-sg/poolformer
What are some alternatives?
EfficientConformer - [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
seq_nms - PyTorch implementation of seq-nms
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches