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yolov5-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 ontimm-flutter-pytorch-lite-blogpost
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.behavior-dataset
Dataset for behavior recognition on NAOyolov5-torchscript-flutter-blogpost
YOLOv5 real time inference on Android with Torchscript and Flutterhuggingface-timm-mobile-blogpost
Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOSpostgresql-multimodal-retrieval
Multimodal retrieval using Vision Language Model with PostgreSQL database.fastdup-manage-clean-curate-blogpost
Find duplicate and anomalies in your dataset. Identify wrong/confusing labels in your dataset. Uncover data leak in your dataset.mafat-fastdup-blogpost
Data insights from the MAFAT Satellite Vision challenge.cvat-gradio
Load CVAT datasets into Gradiosatellite-image-deep-learning-course
PhD
design-patterns-in-python
My practice to implement design patterns in Pythonwebdemo-fridge-detection
dnth.github.io
zenml-optuna
dnth
microalgae-cell-counter-blogpost
Accompanying repo for the blogpost Modelling a Microalgae Cell Counter with Deep Learning on dicksonneoh.comLove Open Source and this site? Check out how you can help us