An Engine-Agnostic Deep Learning Framework in Java
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Updated
Jun 12, 2024 - Java
An Engine-Agnostic Deep Learning Framework in Java
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
OpenMMLab Model Deployment Framework
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
Lightweight nudity detection
🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
Robust realtime face and facial landmark tracking on CPU with Unity integration
Realtime human head pose estimation with ONNXRuntime and OpenCV.
A Redis module for serving tensors and executing deep learning graphs
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
ONNX Model Exporter for PaddlePaddle
A Rust wrapper for ONNX Runtime
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Refacer: One-Click Deepfake Multi-Face Swap Tool
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