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#ONNX Runtime 1.0 is available. Our new release brings CPU/GPU performance optimizations, expands the list of execution providers, accelerates ONNX model shipping, and a host of other features. Learn more details here: http://bit.ly/335NzIj -
Rumor has it
#ONNX deep learning models are coming to https://developer.ibm.com/exchanges/models/ …. I can neither deny or confirm rumors. Only help spread them ¯\_(ツ)_/¯. -
Accelerate and optimize your machine learning models using
#ONNX and ONNX Runtime. Hear from@Microsoft experts on how ONNX Runtime accelerates Bing Semantic Precise Image Search in this video:http://bit.ly/2kSQT8G -
ONNX.js is an open source
#Javascript library for running#ONNX models on browsers and on Node.js. It utilizes multi-threading in a JavaScript AI inference engine to offer significant performance improvements. Learn more here: http://bit.ly/2ueAlwl -
Early access to object detection built in pure
#golang with#onnx-go and@GorgoniaML running on cloudrun : …https://object-detection-brhknbc27q-ew.a.run.app/ Feel free to use it as an API. -
Osobe Vidi sve
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ONNX.js is now available, allowing web
#developers to score pre-trained#ONNX models on browsers and Node.js on both CPUs and GPUs.#AIhttp://bit.ly/2AzzHc7 -
Open sourced our
#ONNX parser for@NvidiaAI ‘s TensorRT inference platform. https://github.com/onnx/onnx-tensorrt …#deeplearning -
Windows Machine Learning supports specific versions of the
#ONNX format in released Windows builds. In order for your model to work with#WindowsML, you will need to make sure your ONNX version is supported for the release targeted by your application. http://msft.social/vhLbji pic.twitter.com/P1fYr3FsN8
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How to Convert an AllenNLP model and Deploy on Caffe2 and TensorFlow http://www.realworldnlpbook.com/blog/how-to-convert-an-allennlp-model-and-deploy-on-caffe2-and-tensorflow.html …
#AllenNLP#PyTorch#ONNX#Caffe2#TensorFlow#NLProc -
[blog] Shintaro Okada, an engineer at PFN, who is a lead developer of Menoh, posted an article about the introduction to Menoh. Menoh is a library that can read trained DNN models in the
#ONNX format for inference. https://preferredresearch.jp/2018/06/26/menoh-release/ … -
We are excited to announce that DeepStack AI Server is now available as a native app for Windows systems. Windows users can now easily run pre-built Recognition APIs, Detection APIs and add their custom
#Tensorflow,#Keras and#ONNX models as Custom APIs. https://medium.com/deepquestai/ai-apis-available-on-windows-with-deepstack-native-3f500d33b7ed … -
New ONNX v1.3 release just dropped. Thanks to the great collaboration with Amazon, Microsoft and the rest of the community!!!
#onnx https://lnkd.in/gHBKBY7 -
Connect(); is 100% online, and the demos (from what I've seen!) are going to be game-changing.
#ONNX Register here: https://www.microsoft.com/en-us/connectevent …https://twitter.com/visualstudio/status/926152069169397760 …
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Small victory! Converted a model from
#PyTorch states/weights and network to an#onnx model - intermediate representation to then go places like Keras or Tensorflow. Wrote my steps down https://buff.ly/2OgBr37 pic.twitter.com/NQw6otbW9S
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#ONNX to#Gorgonia: first refacto ok; I wrote some docs and automatic tests for implementing new operators. BatchNorm is next on the TODO (I'd really like to run inception in the browser). Any contribution is welcome (there's no small contribution) https://github.com/owulveryck/gorgonnx/tree/master/operators …#golangPrikaži ovu nit -
With the latest release,
#DeepStack is the world's first#AI server to support custom@onnx ,@TensorFlow and#Keras models in one package. With the#ONNX support, you can train in any framework including@PyTorch and deploy to production with#DeepStackhttp://bit.ly/deepstack-aiPrikaži ovu nit -
Learn how to build a “Visual Alert” system for an IoT camera by using
#Azure Cognitive Services to train an image classifier, and exporting that#ONNX model to run locally on the IoT device. http://bit.ly/2pR4srl -
All trends seem right on point.
#AI and#ML enabled solutions will continue expanding in 2019. Great work@janakiramm ! AI Trends: 1. AI enabled chips 2.#IoT and AI convergence 3. Neural Network Tokit interoperability#ONNX 4. Automated#MachineLearning 5. AI+DevOps = AIOpshttps://twitter.com/janakiramm/status/1071782192483753987 … -
Intel joins
@Microsoft and@Facebook in the#ONNX Project to accelerate the development of#AI and#deeplearninghttps://www.intelnervana.com/intel-joins-open-neural-network-exchange-ecosystem/ … -
IBM joins the Open Neural Network Exchange
#ONNX#DeepLearninghttps://cards.twitter.com/cards/18ce54hh4ae/56cwh …
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