BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | Face Parsing | In PyTorch >> ONNX Runtime Inference
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Updated
Feb 12, 2026 - Python
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | Face Parsing | In PyTorch >> ONNX Runtime Inference
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Pre-trained image models using ONNX for fast, out-of-the-box inference.
Exporting YOLOv5 for CPU inference with ONNX and OpenVINO
Python scripts performing object detection using the YOLOv11 model in ONNX.
YOLOv8 trained on CrowdHuman dataset and supports ONNX Runtime Inference for Image, Video and Webcam
XMem ONNX Inference
Machine learning model for predicting the drone deployment for the smart agriculture use case. Developed in collaboration between University College Dublin (UCD) and Augmenta (acquired by CNH Industrial) for the EU MLSysOps project.
Machine learning model for noise prediction in smart city lampposts, developed in collaboration between by University College Dublin (UCD) and Ubiwhere for the EU MLSysOps project.
Classify 160 different tags from scifi and fantasy questions.
A Deep Reinforcement Learning (PPO) model exported for optimizing VM placement and lifecycle management. Developed by UCD for the EU MLSysOps project.
Classify movie genre from its summary.
Mode for optimizing 5G networks latency. Developed by NTT DATA for the EU MLSysOps project.
Machine Learning Model for 5G Jamming Detection. Developed by INRIA for the EU MLSysOps project.
Machine learning model for anomaly detection on VM telemetry metrics. Developed by TU Delft for the EU MLSysOps project.
Simple, safe, and fast common subexpression elimination in ONNX models
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