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Title: dnth (Dickson Neoh) · GitHub

Open Graph Title: dnth - Overview

X Title: dnth - Overview

Description: Full stack AI engineer specializing in deploying computer vision models on edge devices for real-time inference. - dnth

Open Graph Description: Full stack AI engineer specializing in deploying computer vision models on edge devices for real-time inference. - dnth

X Description: Full stack AI engineer specializing in deploying computer vision models on edge devices for real-time inference. - dnth

Opengraph URL: https://github.com/dnth

X: @github

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Explore my webpage »https://dicksonneoh.com
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https://dicksonneoh.com/portfolio/supercharge_your_pytorch_image_models/
Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations.https://dicksonneoh.com/portfolio/supercharge_your_pytorch_image_models/
https://dicksonneoh.com/portfolio/supercharge_your_pytorch_image_models/
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.https://dicksonneoh.com/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/
https://dicksonneoh.com/portfolio/supercharging_yolov5_180_fps_cpu/
Supercharging YOLOv5: How I Got 182.4 FPS Inference Without a GPU.https://dicksonneoh.com/portfolio/supercharging_yolov5_180_fps_cpu/
https://dicksonneoh.com/portfolio/how_to_10x_your_od_model_and_deploy_50fps_cpu/
Faster than GPU: How to 10x your Object Detection Model and Deploy on CPU at 50+ FPS.https://dicksonneoh.com/portfolio/how_to_10x_your_od_model_and_deploy_50fps_cpu/
https://patch-diff.githubusercontent.com/dnth#-featured-blogs
https://dicksonneoh.com/blog/i_made_it_github_trending/
I Made It to GitHub Trending - My Open Source Journeyhttps://dicksonneoh.com/blog/i_made_it_github_trending/
https://dicksonneoh.com/blog/world_top_scientist/
Celebrating a Milestone in the Top 2% of Global Scientistshttps://dicksonneoh.com/blog/world_top_scientist/
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https://github.com/dnth/x.infer
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https://github.com/dnth/x.retrieval
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https://github.com/fastai/fastai
https://github.com/keras-team/keras
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