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Making models go 🚀 ⚡
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dnth/README.md

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

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


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Projects · Blogs · LinkedIn · X · About

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⭐ Featured Projects

Supercharge Your PyTorch Image Models

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

Supercharge Your PyTorch Image Models

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

Supercharge Your PyTorch Image Models

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

Supercharge Your PyTorch Image Models

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

GitHub Trending Developer

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

Top 2% Scientists

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

x.infer Framework agnostic computer vision inference. Run inference on any 1000+ models with 3 lines of code.
GitHub stars
x.retrieval Evaluate your multimodal retrieval pipeline with any model.
GitHub stars
pgsql-search Multimodal Search and Retrieval from PostgreSQL database using Python.
GitHub stars
pgmmr Vector/Hybrid Search & Retrieval on PostgreSQL database your favorite Vision Language Model.
GitHub stars

🛠️ Tech Stack

Deep Learning
Hyperparameter
Optimization
Experiment
Management
Model
Deployment
Hardware
Software
Engineering
Data
Frontend

📈 Github Stats

GitHub Profile Summary
Top Languages by Repo Top Languages by Commit
Stats Commits (UTC +8.00)

❤️ 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.

Buy Me A Coffee

Pinned Loading

  1. x.infer x.infer Public

    Framework agnostic computer vision inference. Run 1000+ models by changing only one line of code. Supports models from transformers, timm, ultralytics, vllm, ollama and your custom model.

    Jupyter Notebook 128 12

  2. yolov5-deepsparse-blogpost yolov5-deepsparse-blogpost Public

    By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantization aware training, sparse transfer learning, and one-shot qua…

    Jupyter Notebook 55 13

  3. timm-flutter-pytorch-lite-blogpost timm-flutter-pytorch-lite-blogpost Public

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

    Jupyter Notebook 43 5

  4. supercharge-your-pytorch-image-models-blogpost supercharge-your-pytorch-image-models-blogpost Public

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

    Jupyter Notebook 22

  5. huggingface-timm-mobile-blogpost huggingface-timm-mobile-blogpost Public

    Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOS

    Dart 5 4

  6. x.retrieval x.retrieval Public

    Evaluate your multimodal retrieval system with any models and datasets.

    Jupyter Notebook 1