fbpx

  • Warning: Invalid argument supplied for foreach() in /home/odsc1733/public_html/opendatascience.com/wp-includes/nav-menu.php on line 95

    Warning: array_merge(): Argument #2 is not an array in /home/odsc1733/public_html/opendatascience.com/wp-includes/nav-menu.php on line 102
PyTorch
Major Updates to the Most Popular Data Science Frameworks in 2019

Major Updates to the Most Popular Data Science Frameworks in 2019

Featured PostModelingTools & Languages2020chainerFast.aiKerasmxnetPyTorchScikit-LearnSparkspark mllibTensorFlowposted 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 order to get... Read more
Top 7 Machine Learning Frameworks for 2020

Top 7 Machine Learning Frameworks for 2020

Machine LearningModelingcaffefirebaseKerasmicrosoft cognitive toolkitPyTorchScikit-LearnTensorFlowposted 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. You need a... Read more
Deep Learning Frameworks You Need to Know in 2020

Deep Learning Frameworks You Need to Know in 2020

Deep LearningModeling2020chainerKerasmicrosoft cognitive toolkitmxnetPyTorchSparkTensorFlowposted 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 based data, you’ll... Read more
RAPIDS 0.8: Same Community New Freedoms

RAPIDS 0.8: Same Community New Freedoms

Machine LearningModelingTools & LanguagesMachine LearningPyTorchrapidsposted 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 in the enablement... Read more
Exploring the Deep Learning Framework PyTorch

Exploring the Deep Learning Framework PyTorch

ConferencesDeep LearningModelingPyTorchWest 2018posted by Nathaniel Jermain July 26, 2019

There are a variety of open-source deep learning frameworks to choose from including Keras, TensorFlow, Caffe2, and MXNet among others. At ODSC West in 2018, Stephanie Kim, a developer at Algorithmia, gave a great talk introducing the deep learning framework PyTorch. Primarily developed by Facebook, PyTorch enables a suite... Read more
2018 Major Updates to the Most Popular Data Science Frameworks

2018 Major Updates to the Most Popular Data Science Frameworks

Featured PostfastaiKerasmxnetPyTorchScikit-LearnTensorFlowposted by Alex Landa, ODSC January 23, 2019

New data science projects, tools, and frameworks are popping up at a hectic pace.  However, most of us are already using many of the major and most popular ones. Read on and check out major releases of some of the most popular frameworks you may have missed in 2018. PyTorch:... Read more
Copyright © 2019 Open Data Science. All rights reserved.