Full stack AI engineer specializing in deploying computer vision models on edge devices for real-time inference.
DEIMKit. DEIMKit is a Python package that provides a wrapper for DEIM: DETR with Improved Matching for Fast Convergence. Check out the original repo for more details.
121yolov5-deepsparse-blogpost. 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 quantization. Export the sparsified model and run it using the DeepSparse engine at insane speeds. P/S: The end result - YOLOv5 on CPU at 180+ FPS using on
56timm-flutter-pytorch-lite-blogpost. PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
45supercharge-your-pytorch-image-models-blogpost. Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations
24behavior-dataset. Dataset for behavior recognition on NAO
8yolov5-torchscript-flutter-blogpost. YOLOv5 real time inference on Android with Torchscript and Flutter
6huggingface-timm-mobile-blogpost. Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOS
6mafat-fastdup-blogpost. Data insights from the MAFAT Satellite Vision challenge.
3deployment-frameworks. Python
3fastdup-manage-clean-curate-blogpost. Find duplicate and anomalies in your dataset. Identify wrong/confusing labels in your dataset. Uncover data leak in your dataset.
3cvat-gradio. Load CVAT datasets into Gradio
2clean-up-digital-life-fastdup-blogpost. Eliminate duplicates, blurry, dark, bright and broken images with fastdup and Python.
2YOLOX-teras-plate-det-rec. YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
1design-patterns-in-python. My practice to implement design patterns in Python
1zenml-optuna. Jupyter Notebook
1flutter-login-template. Dart
1microalgae-cell-counter-blogpost. Accompanying repo for the blogpost Modelling a Microalgae Cell Counter with Deep Learning on dicksonneoh.com
1ram-onnx-inference. Jupyter Notebook
1satellite-image-deep-learning-course. Jupyter Notebook
1dl-android-hf-blogpost. Dart
1dnth.
1mmdetection. OpenMMLab Detection Toolbox and Benchmark
1webdemo-microalgae-detection. Jupyter Notebook
1webdemo-fridge-detection. Jupyter Notebook
1soc_data. Jupyter Notebook
1deepwork-pomodoro. My personal pomodoro timer for deep work
1PhD. Jupyter Notebook
1yolox-body-head-hand-face. Jupyter Notebook
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