https://github.com/dnth/dnth

https://github.com/dnth/dnth

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/dnth/dnth
• Owner: dnth
• Created: 2022-01-25T09:15:03.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2025-01-24T13:19:32.000Z (over 1 year ago)
• Last Synced: 2025-11-11T11:32:27.649Z (8 months ago)
• Size: 1.38 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
![banner](assets/banner.png)







🚀 I make models small, fast, and efficient. 💨

Fullstack computer vision engineer specializing in deploying models on edge devices for real-time inference.


    


    Explore my webpage »

    


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    About

    


    


    

    

        

    

    

        

    

    

        

    



## ⭐ Featured Projects

  

    

      

        

      

    

    

      
Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations.

      
Accelerate inference speed for PyTorch image models using ONNX Runtime and TensorRT optimizations. Achieve up to 123x speedup over the original PyTorch model on CPU.

      
📅 September 30, 2024

    

  

  

    

      

        

      

    

    

      
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.

      
Deploy PyTorch models on Android using TIMM, Fastai, TorchScript, and Flutter. Select a model from TIMM's 900+ models, train with Fastai, export to TorchScript, and create an Android app with Flutter for inference.

      
📅 February 7, 2023

    

  

  

    

      

        

      

    

    

      
Supercharging YOLOv5: How I Got 182.4 FPS Inference Without a GPU.

      
Optimize YOLOv5 model for CPU inference using Neural Magic's SparseML and DeepSparse. Train on custom data, apply sparsification techniques like pruning and quantization, and achieve up to 180+ FPS on a CPU with only 4 cores.

      
📅 June 7, 2022

    

  

  

    

      

        

      

    

    

      
Faster than GPU: How to 10x your Object Detection Model and Deploy on CPU at 50+ FPS.

      
Optimize a YOLOX object detection model deploy on a CPU. Train with custom data, convert to ONNX and OpenVINO IR formats, and apply post-training quantization. This results in a 10x speed improvement, making real-time inference possible on CPU, even outperforming GPU performance.

      
📅 April 30, 2022

    

  


## 📝 Featured Blogs

  

    

      

        

      

    

    

      
I Made It to GitHub Trending - My Open Source Journey

      
I was listed in GitHub's trending developers list for my open-source work on x.infer, a framework agnostic computer vision inference library. Thank you for supporting my work!

      
📅 October 28, 2024

    

  

  

    

      

        

      

    

    

      
Celebrating a Milestone in the Top 2% of Global Scientists

      
Honored to be recognized among the top 2% of global scientists by Stanford University in 2023. Reflecting on my 10-year journey from academia to industry in AI/ML.

      
📅 November 17, 2023

    

  


## 🚀 What I'm Building

  

    

      

        

      

    

    

      Framework agnostic computer vision inference. Run inference on any 1000+ models with 3 lines of code.

      


      

    

  

  

    

      

        

      

    

    

      Active learning for computer vision.

      


      

    

  

  

    

      

        

      

    

    

      Evaluate your multimodal retrieval pipeline with any model.

      


      

    

  

  

    

      

        

      

    

    

      Multimodal Search and Retrieval from PostgreSQL database using Python.

      


      

    

  

  

    

      

        

      

    

    

      Vector/Hybrid Search & Retrieval on PostgreSQL database your favorite Vision Language Model.

      


      

    

  

## 🛠️ Tech Stack

  

    Deep Learning

    

      

      

      

      

    

  

  

    Hyperparameter
Optimization

    

      

      

      

    

  

  

    Experiment
Management

    

      

      

      

    

  

  

    Model
Deployment

    

      

      

      

      

      

      

      

      

    

  

  

    Hardware

    

      

      

      

      

    

  

  

    Software
Engineering

    

      

      

      

      

    

  

  

    Data

    

      

      

      

      

      

      

      

      

    

  

  

    Frontend

    

      

      

      

      

    

  

## 📈 Github Stats

  

    

      

    

  

  

    

      

    

    

      

    

  

  

    

      

    

    

      

    

  

## ❤️ Support Me

Creating free machine learning contents doesn't pay my bills. Support me in creating more free contents like these. Consider buying me a coffee. Your support means a lot to me.