fbpx
6 Trending Python Machine Learning Packages on PyPI
As the most popular programming language for data science, Python packages, frameworks, and libraries are pulled by the millions each month. Month-to-month, Python packages reflect growing trends in the field of data science; as NLP is talked about more often, so will we see more packages... Read more
ML Inference on Edge Devices with ONNX Runtime Using Azure DevOps
This article discusses ML inference on edge. AI applications are designed to perform tasks that emulate human intelligence to make predictions that help us make better decisions for the scenario. This drives operational efficiency when the machine executes the task without worrying about fatigue or safety.... Read more
Accelerate your NLP pipelines using Hugging Face Transformers and ONNX Runtime
This post was written by Morgan Funtowicz from Hugging Face and Tianlei Wu from Microsoft Transformer models have taken the world of natural language processing (NLP) by storm. They went from beating all the research benchmarks to getting adopted for production by a growing number of companies in a record... Read more
This article introduces ONNX Runtime for NodeJS. There are tons of options in the Machine Learning world. You may have noticed a large number of frameworks, libraries, and formats that are floating around. Machine Learning is one of the most “hot” topics of the decade, and... Read more
Accelerating Model Training with the ONNX Runtime
TDLR; This article introduces the new improvements to the ONNX runtime for accelerated training and outlines the 4 key steps for speeding up training of an existing PyTorch model with the ONNX Runtime (ORT). What is the ONNX Runtime (ORT)? ONNX Runtime is a performance-focused inference engine... Read more
Tutorial: Accelerate and Productionize ML Model Inferencing Using Open-Source Tools
You’ve finally got that perfect trained model for your data set. Now what? To run and deploy it to production, there’s a host of issues that lie ahead. Performance latency, environments, framework compatibility, security, deployment targets…there are lots to consider! This tutorial will show you how... Read more