Showing 1-6 of 6 projects
Google Brain's AutoML is a library for building and deploying custom AI models using state-of-the-art computer vision techniques.
A PyTorch reimplementation of the EfficientDet object detection model with SOTA performance in real-time.
An efficient PyTorch implementation of the EfficientDet object detection model with ported weights.
A scalable and efficient object detection library implemented in Keras and TensorFlow for vibe coders.
A PyTorch implementation of the EfficientDet object detection model for high-performance computer vision tasks.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
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