Pre-trained Deep Learning models and demos (high quality and extremely fast)
翻译 - 预先训练的深度学习模型和样本(高质量且快速)
🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
Run PyTorch models in the browser using ONNX.js
#计算机科学#A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
#安卓#Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
#计算机科学#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 t...
ONNX runtime for Flutter.
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
Stable Diffusion UI: Diffusers (CUDA/ONNX)
Full version of wav2lip-onnx including face alignment and face enhancement and more...
#计算机科学#Count number of parameters / MACs / FLOPS for ONNX models.
#计算机科学#🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
#计算机科学#YOLOv7 to detect bone fractures on X-ray images
Convert Caffe models to ONNX.
Computer Vision And Neural Network with Xamarin
🦉Gracefully face reCAPTCHA challenge with ModelHub embedded solution.
Full-attention multi-instrumental music transformer featuring asymmetrical encoding with octo-velocity, and chords counters tokens, optimized for speed and performance
Simple and fast wav2lip using new 256x256 resolution trained onnx-converted model for inference. Easy installation