Pre-trained Deep Learning models and demos (high quality and extremely fast)
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Updated
May 22, 2024 - Python
Pre-trained Deep Learning models and demos (high quality and extremely fast)
🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Run PyTorch models in the browser using ONNX.js
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
YOLOv7 to detect bone fractures on X-ray images
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
Count number of parameters / MACs / FLOPS for ONNX models.
🦉Gracefully face reCAPTCHA challenge with ModelHub embedded solution.
🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
Stable Diffusion UI: Diffusers (CUDA/ONNX)
Convert Caffe models to ONNX.
Computer Vision And Neural Network with Xamarin
ONNX runtime for Flutter.
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
Virtual ML.NET 2021 Hackathon Submission
simple and fast wav2lip using onnx models for face-detection and inference. Easy installation
Full-attention multi-instrumental music transformer featuring asymmetrical encoding with octo-velocity, and chords counters tokens, optimized for speed and performance
Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph
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