127 Open source projects that are alternatives of or similar to kinference

Open standard for machine learning interoperability

nGraph has moved to OpenVINO

Convert scikit-learn models and pipelines to ONNX

Pure C# machine learning framework

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Convert ONNX model graph to Keras model format.

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

Code for some onnxruntime projects

PaddlePaddle to ONNX model converter

ncnn is a high-performance neural network inference framework optimized for the mobile platform

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

No description or website provided.

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Actively maintained ONNX Optimizer

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Robust realtime face and facial landmark tracking on CPU with Unity integration

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.

Facial Landmark Detection based on PyTorch

Add-on package for ONNX format support in Chainer

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

R Interface to Open Neural Network Exchange (ONNX)

Kaldi model converter to ONNX

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

Tensorflow Backend for ONNX

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

arcface and retinaface model convert mxnet to onnx.

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

Intelligent Component Registry web service for managing and using snn, dnn, and ml models, which is stored in onnx format.

Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

Tengine is a lite, high performance, modular inference engine for embedded device

Yet another yolov5, with its runtime stack for libtorch, onnx, tvm and specialized accelerators. You like torchvision's retinanet? You like yolov5? You love yolort!

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

ONNX-TensorRT: TensorRT backend for ONNX

PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Visualizer for neural network, deep learning, and machine learning models

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

一个多语言支持、易使用的 OCR 项目。An easy-to-use OCR project with multilingual support.

Gluon to PyTorch deep neural network model converter

php wrapper for opencv

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

PyTorch Project Specification.

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

MobileNetV3-SSD for object detection and implementation in PyTorch

ML.NET Workshop to predict car sales prices

🍷 Gracefully claim weekly free games and monthly content from Epic Store.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

pytorch to caffe by onnx

The purpose of this project is to apply mediapipe to more AI chips.

No description or website provided.

AMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.