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PyTorch - IBM Developer
IBM Developer

PyTorch

An open source Tensor library for deep learning

An open source Python package that provides Tensor computation and deep neural networks.

18 June 2025

Article

IBM's approach to open technology

Learn about our approach to open source, including where we focus our contributions in projects and communities, how we push innovation upstream, and what you should consider when embracing open source in your enterprise.

IBM's approach to open technology

28 February 2025

Article

AI model training with PyTorch

Learn about the basics of PyTorch and it's support for the training, evaluation, and inferencing phases of the machine learning workflow.

AI model training with PyTorch

15 October 2024

Article

Supervised fine-tuning of the open source IBM Granite model using transformers

Create a specialised LLM using the Low-Rank Adaption (LoRA) transformer technique and Optuna library for a question answering task

Supervised fine-tuning of the open source IBM Granite model using transformers

30 June 2024

Open Project

Horovod

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make distributed deep learning fast and easy to use.

Horovod

11 May 2024

Open Project

PyTorch

A Python package that provides tensor computation and deep neural networks.

PyTorch

03 April 2024

Blog post

IBM's Contributions at Open Source Summit North America 2024

Your guide to the different presentations from IBMers and co-presenters at the main conference and co-located events at Open Source Summit North America 2024

IBM's Contributions at Open Source Summit North America 2024

30 June 2023

Tutorial

Run a distributed model training workload using Ray and CodeFlare

Create a Ray cluster using the CodeFlare SDK and interact with Ray within the CodeFlare Stack to run distributed ML workloads

Run a distributed model training workload using Ray and CodeFlare

19 March 2023

Article

Neural networks from scratch

Learn the fundamentals of how you can build neural networks without the help of the frameworks that might make it easier to use.

Neural networks from scratch

14 October 2022

Blog post

How to run AI inferencing on IBM Power10 leveraging MMA

Six real-world scenarios that demonstrate the ease of use and benefits of using Power10 MMA for AI inferencing

How to run AI inferencing on IBM Power10 leveraging MMA

08 December 2021

Learning Path

Adapt models with the Model Compression API

Learn how you can use the Model Compression API to adapt or fine-tune models based on available resources such as power, memory, storage, compute, or network availability.

08 December 2021

Learning Path

Shared machine learning without shared data using the Model Fusion API

Learn how you can use the Model Fusion API to allow AI machine learning models to learn from data distributed across multiple edges.

08 December 2021

Learning Path

Get started with Distributed AI APIs

Learn about Distributed AI APIs, a set of RESTful web services with data and AI algorithms to support AI applications across hybrid cloud, distributed, and edge environments.

Get started with Distributed AI APIs
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PyTorch - IBM Developer