timm-flutter-pytorch-lite-blogpost
ekya
timm-flutter-pytorch-lite-blogpost | ekya | |
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7 | 1 | |
36 | 94 | |
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2.4 | 0.0 | |
about 1 year ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
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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
ekya
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Microsoft AI Researchers Develop ‘Ekya’ To Address The Problem Of Data Drift On The Edge Compute Box And Enables Both Retraining And Inference To Co-Exist On It
Github: https://github.com/edge-video-services/ekya
What are some alternatives?
EfficientConformer - [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition
Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
tftchamp - TFT end-to-end analytics pipeline
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.
cleora - Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
seq_nms - PyTorch implementation of seq-nms
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.