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AMD Joins Other Big Tech as a Founding Member of the PyTorch Foundation
Microchip maker AMD (Advanced Micro Devices) has become a founding member of the PyTorch Foundation. This non-profit, which will be a part of the Linux Foundation, will work to help advance artificial intelligence tooling by creating an open-source environment that looks to help the popular framework... Read more
Daniel Voigt Godoy on Deep Learning and Starting PyTorch
PyTorch has quickly been gaining steam as a leading deep learning framework, with many practitioners choosing it over TensorFlow as their go-to framework of choosing lately. Ahead of his upcoming Ai+ Training session, PyTorch 101, coming up this August 24th, we spoke with Daniel Voigt Godoy,... Read more
Practical Quantization in PyTorch
Quantization is a cheap and easy way to make your DNN run faster and with lower memory requirements. PyTorch offers a few different approaches to quantize your model. In this blog post, we’ll lay a (quick) foundation of quantization in deep learning, and then take a... Read more
Higher-level PyTorch APIs: A short introduction to PyTorch Lightning 
In recent years, the PyTorch community developed several different libraries and APIs on top of PyTorch. PyTorch Lightning (Lightning for short) is one of them, and it makes training deep neural networks simpler by removing much of the boilerplate code. However, while Lightning’s focus lies in... Read more
Optimizing Your Model for Inference with PyTorch Quantization
Editor’s Note: Jerry is a speaker for ODSC East 2022. Be sure to check out his talk, “Quantization in PyTorch,” to learn more about PyTorch quantization! Quantization is a common technique that people use to make their model run faster, with lower memory footprint and lower... Read more
The ODSC Warmup Guide to PyTorch
PyTorch is an open-source framework built for developing machine learning and deep learning models. In particular, this framework provides the stability and support required for building computational models in the development phase and deploying them in the production phase.  PyTorch functionalities are extensible with other Python... Read more
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
Introduction to PyTorch
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
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
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