Search Packages

rapidocr

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

openvino

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

rapidocr-onnxruntime

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

openvino-dev

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

sit4onnx

Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. Simple Inference Test for ONNX.

whisper-live

A nearly-live implementation of OpenAI's Whisper.

optimum-benchmark

🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.

mmdeploy

OpenMMLab Model Deployment Framework

openvino-model-api

Run Computer Vision AI models with simple Python API and using OpenVINO Runtime

ovmsclient

A scalable inference server for models optimized with OpenVINO™

isat-tuner

Inference Stack Auto-Tuner — one command to find the fastest ONNX inference config for any model on any GPU. Bayesian optimization, Pareto analysis, thermal-aware benchmarking, multi-provider (ROCm/CUDA/TensorRT/OpenVINO).

openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

nndeploy

一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

llmware

Unified framework for building enterprise RAG pipelines with small, specialized models

otx

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

rapidocr-openvino

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

mmdeploy-runtime

OpenMMLab Model Deployment Framework

openvino-nightly

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

tflite2tensorflow

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

rapidocr-paddle

📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.

geti-sdk

Software Development Kit (SDK) for the Geti™ platform for Computer Vision AI model training.

mmdeploy-runtime-gpu

OpenMMLab Model Deployment Framework