An executor that loads ONNX models and embeds documents using the ONNX runtime.

Overview

ONNXEncoder

An executor that loads ONNX models and embeds documents using the ONNX runtime.

Usage

via Docker image (recommended)

from jina import Flow
	
f = Flow().add(uses='jinahub+docker://ONNXEncoder')

via source code

from jina import Flow
	
f = Flow().add(uses='jinahub://ONNXEncoder')
  • To override __init__ args & kwargs, use .add(..., uses_with: {'key': 'value'})
  • To override class metas, use .add(..., uses_metas: {'key': 'value})
You might also like...
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.

scc4onnx Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel

A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB, or simply to separate onnx files to any size you want.
A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB, or simply to separate onnx files to any size you want.

sne4onnx A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB, or

Simple ONNX operation generator. Simple Operation Generator for ONNX.
Simple ONNX operation generator. Simple Operation Generator for ONNX.

sog4onnx Simple ONNX operation generator. Simple Operation Generator for ONNX. https://github.com/PINTO0309/simple-onnx-processing-tools Key concept V

Quantized tflite models for ailia TFLite Runtime
Quantized tflite models for ailia TFLite Runtime

ailia-models-tflite Quantized tflite models for ailia TFLite Runtime About ailia TFLite Runtime ailia TF Lite Runtime is a TensorFlow Lite compatible

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

FMEN Lowest memory consumption and second shortest runtime in NTIRE 2022 on Efficient Super-Resolution. Our paper: Fast and Memory-Efficient Network T

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

MMdnn MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model manage

This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model inference.

PyTorch Infer Utils This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model infer

Runtime type annotations for the shape, dtype etc. of PyTorch Tensors.

torchtyping Type annotations for a tensor's shape, dtype, names, ... Turn this: def batch_outer_product(x: torch.Tensor, y: torch.Tensor) - torch.Ten

NVIDIA container runtime

nvidia-container-runtime A modified version of runc adding a custom pre-start hook to all containers. If environment variable NVIDIA_VISIBLE_DEVICES i

Releases(v0.2.0)
Owner
Jina AI
A Neural Search Company. We provide the cloud-native neural search solution powered by state-of-the-art AI technology.
Jina AI
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks.

FDRL-PC-Dyspan Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks. This repository contains the entire code

Peyman Tehrani 17 Nov 18, 2022
3D-Transformer: Molecular Representation with Transformer in 3D Space

3D-Transformer: Molecular Representation with Transformer in 3D Space

55 Dec 19, 2022
Machine Learning Time-Series Platform

cesium: Open-Source Platform for Time Series Inference Summary cesium is an open source library that allows users to: extract features from raw time s

632 Dec 26, 2022
Trax โ€” Deep Learning with Clear Code and Speed

Trax โ€” Deep Learning with Clear Code and Speed Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively us

Google 7.3k Dec 26, 2022
๐Ÿ… Top 5% in ์ œ2ํšŒ ์—ฐ๊ตฌ๊ฐœ๋ฐœํŠน๊ตฌ ์ธ๊ณต์ง€๋Šฅ ๊ฒฝ์ง„๋Œ€ํšŒ AI SPARK ์ฑŒ๋ฆฐ์ง€

AI_SPARK_CHALLENG_Object_Detection ์ œ2ํšŒ ์—ฐ๊ตฌ๊ฐœ๋ฐœํŠน๊ตฌ ์ธ๊ณต์ง€๋Šฅ ๊ฒฝ์ง„๋Œ€ํšŒ AI SPARK ์ฑŒ๋ฆฐ์ง€ ๐Ÿ… Top 5% in mAP(0.75) (443๋ช… ์ค‘ 13๋“ฑ, mAP: 0.98116) ๋Œ€ํšŒ ์„ค๋ช… Edge ํ™˜๊ฒฝ์—์„œ์˜ ๊ฐ€์ถ• Object Dete

3 Sep 19, 2022
Github project for Attention-guided Temporal Coherent Video Object Matting.

Attention-guided Temporal Coherent Video Object Matting This is the Github project for our paper Attention-guided Temporal Coherent Video Object Matti

71 Dec 19, 2022
pytorch implementation of fast-neural-style

fast-neural-style ๐ŸŒ‡ ๐Ÿš€ NOTICE: This codebase is no longer maintained, please use the codebase from pytorch examples repository available at pytorch/e

Abhishek Kadian 405 Dec 15, 2022
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

EfficientNet PyTorch Quickstart Install with pip install efficientnet_pytorch and load a pretrained EfficientNet with: from efficientnet_pytorch impor

Luke Melas-Kyriazi 7.2k Jan 06, 2023
This library is a location of the LegacyLogger for PyTorch Lightning.

neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li

neptune.ai 26 Oct 07, 2021
Tensorflow-Project-Template - A best practice for tensorflow project template architecture.

Tensorflow Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributi

Mahmoud G. Salem 3.6k Dec 22, 2022
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation (CVPR 2022)

CCAM (Unsupervised) Code repository for our paper "CCAM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localizati

Computer Vision Insitute, SZU 113 Dec 27, 2022
Segmentation models with pretrained backbones. PyTorch.

Python library with Neural Networks for Image Segmentation based on PyTorch. The main features of this library are: High level API (just two lines to

Pavel Yakubovskiy 6.6k Jan 06, 2023
Molecular Sets (MOSES): A benchmarking platform for molecular generation models

Molecular Sets (MOSES): A benchmarking platform for molecular generation models Deep generative models are rapidly becoming popular for the discovery

Neelesh C A 3 Oct 14, 2022
License Plate Detection Application

LicensePlate_Project ๐Ÿš— ๐Ÿš™ [Project] 2021.02 ~ 2021.09 License Plate Detection Application Overview 1. ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ผ๋ฒจ๋ง ์ฐจ๋Ÿ‰ ๋ฒˆํ˜ธํŒ ์ด๋ฏธ์ง€๋ฅผ ์ง์ ‘ ์ˆ˜์ง‘ํ•˜์—ฌ ๊ฐ ์ด๋ฏธ์ง€์— ๋Œ€ํ•ด '๋ฒˆํ˜ธํŒ

4 Oct 10, 2022
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis

Readme File for "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" by Ham, Imai, and Janson. (2022) All scripts were written and

0 Jan 27, 2022
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning โ€œ่žบๆ—‹ๆกจโ€็”Ÿ็‰ฉ่ฎก็ฎ—ๅทฅๅ…ท้›†

English | ็ฎ€ไฝ“ไธญๆ–‡ Latest News 2021.10.25 Paper "Docking-based Virtual Screening with Multi-Task Learning" is accepted by BIBM 2021. 2021.07.29 PaddleHeli

633 Jan 04, 2023
Husein pet projects in here!

project-suka-suka Husein pet projects in here! List of projects mysejahtera-density. Generate resolution points using meshgrid and request each points

HUSEIN ZOLKEPLI 47 Dec 09, 2022
Official repository of the paper 'Essentials for Class Incremental Learning'

Essentials for Class Incremental Learning Official repository of the paper 'Essentials for Class Incremental Learning' This Pytorch repository contain

33 Nov 27, 2022
Source for the paper "Universal Activation Function for machine learning"

Universal Activation Function Tensorflow and Pytorch source code for the paper Yuen, Brosnan, Minh Tu Hoang, Xiaodai Dong, and Tao Lu. "Universal acti

4 Dec 03, 2022
Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

567 Dec 26, 2022