PyTorch Archives - Open Data Science - Your News Source for AI, Machine Learning & more

Introduction to PyTorch

Machine Learning Modeling Microsoft PyTorchposted by ODSC Community September 2, 2021

Recently, Microsoft and PyTorch announced a “PyTorch Fundamentals” tutorial, which you can find on Microsoft’s site and on PyTorch’s site. The code in this post is based on the code appearing in that tutorial, and forms the foundation for a series of other posts, where I’ll explore other... Read more

Optimizing PyTorch Performance: Batch Size with PyTorch Profiler

Data Visualization Modeling Microsoft Profiler PyTorchposted by ODSC Community July 16, 2021

This tutorial demonstrates a few features of  PyTorch Profiler that have been released in v1.9. PyTorch. Profiler is a set of tools that allow you to measure the training performance and resource consumption of your PyTorch model. This tool will help you diagnose and fix machine learning performance issues regardless of whether you are working on one or... Read more

Ten Trending Data Science Tools in 2021

Featured Post Modeling AirFlow Auto-Sklearn CatBoost GPT-3 Kubernetes Neo4J Pandas PyTorch Reinforcement Learning Scitkit-learn TensorFlowposted by Alex Landa, ODSC June 24, 2021

The fields of data science and artificial intelligence see constant growth. As more companies and industries find value in automation, analytics, and insight discovery, there comes a need for the development of new tools, frameworks, and libraries to meet increased demand. There are some tools that... Read more

Implementing Content-Based Image Retrieval with Siamese Networks in PyTorch

Machine Learning Modeling PyTorchposted by ODSC Community September 23, 2020

Image retrieval is the task of finding images related to a given query. With content-based image retrieval, we refer to the task of finding images containing some attributes which are not in the image metadata, but present in its visual content. In this post we: –... Read more

Automatic Differentiation in PyTorch

Blogs from ODSC Speakers Conferences Machine Learning Modeling Europe 2020 PyTorchposted by ODSC Community August 10, 2020

Autograd is PyTorch’s automatic differentiation package. Thanks to it, we don’t need to worry about partial derivatives, chain rule, or anything like it. To illustrate how it works, let’s say we’re trying to fit a simple linear regression with a single feature x, using Mean Squared... Read more

10 Notable Frameworks for NLP

Modeling NLP/Text Analytics bert chainer ernie frameworks Keras NLP PyTorch Scikit-Learn spaCy TensorFlowposted by Elizabeth Wallace, ODSC February 28, 2020

Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more

Major Updates to the Most Popular Data Science Frameworks in 2019

Featured Post Modeling Tools & Languages 2020 chainer Fast.ai Keras mxnet PyTorch Scikit-Learn Spark spark mllib TensorFlowposted by Daniel Gutierrez, ODSC January 28, 2020

This time last year we brought you a detailed report of all the important updates for popular data science (machine learning and deep learning) frameworks throughout 2018. The developers of these frameworks continue to innovate at an accelerated rate. Data scientists demand more powerful tools in... Read more

Top 7 Machine Learning Frameworks for 2020

Machine Learning Modeling caffe firebase Keras microsoft cognitive toolkit PyTorch Scikit-Learn TensorFlowposted by Elizabeth Wallace, ODSC January 27, 2020

Machine learning is a nightmare without some kind of structure. You can’t build everything from scratch, especially if you’re in a business setting. Even if you want to (and if you do, comment here and tell us about it!), you don’t have time in most cases.... Read more

Deep Learning Frameworks You Need to Know in 2020

Deep Learning Modeling 2020 chainer Keras microsoft cognitive toolkit mxnet PyTorch Spark TensorFlowposted by Elizabeth Wallace, ODSC December 30, 2019

Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text... Read more

RAPIDS 0.8: Same Community New Freedoms

Machine Learning Modeling Tools & Languages Machine Learning PyTorch rapidsposted by RAPIDS August 13, 2019

RAPIDS released 0.8 a few weeks back. And afterwards, like most Americans, we took off for the 4th of July holiday. Over that break, I reflected on the purpose of RAPIDS. Speed is great, building a strong community is awesome, but the true power of RAPIDS is... Read more