#PyTorch
36 related articles
ExecuTorch Adoption Gap: How to Bridge the Developer Learning Curve
Arm's Matt Cousins hosts an ExecuTorch Birds of a Feather session at PyTorch Conference, focusing on bridging the gap from tutorial samples to real-world on-device AI deployment.
AMD FlyDSL Joins TorchInductor: A New MLIR-Native GPU Kernel Backend
AMD integrates FlyDSL, a Python-native MLIR-based GPU kernel DSL, into TorchInductor. On MI355: FP16 GEMM is ~19% faster than Triton; Flex Attention up to 5.8×.
Inside the PyTorch Ambassador Program: How to Join and Drive Ecosystem Growth
IBM developer and PyTorch Ambassador Sadev Zala shares how the PyTorch Ambassador Program works and how developers can position themselves to join at PyTorch Conference 2026.
PyTorch Certified Associate (PTCA) Learning Path Launches: A One-Stop Journey from Learning to Certification
PyTorch officially launches the PTCA (PyTorch Certified Associate) learning path, integrating focused learning modules with the certification exam into one streamlined experience.
PyTorch CRCR Explained: How External Accelerators Connect to Upstream CI
PyTorch's Cross-Repository CI Relay (CRCR) gives out-of-tree accelerators a scalable path to upstream CI. Learn how it works using IBM Torch Spyre as a case study.
PyTorch Conference NA 2026 Adds Introductory Track and Official Associate Certification
PyTorch Foundation introduces an introductory course track and PyTorch Associate certification at PyTorch Conference NA 2026, covering end-to-end skills from model building to production deployment.
From Research Projects to Open Source Ecosystem: Academic PyTorch Projects Head to PyTorchCon
PyTorch invites universities and research institutions to bring PyTorch-based projects to PyTorchCon NA. Explore why academic projects matter to the open source ecosystem.
How Shopify Built a Continual Learning Loop with PyTorch and vLLM — Cutting Costs by 96%
Shopify built a continual learning loop on PyTorch and vLLM, compressing daily production failures into model weights—surpassing frontier quality while cutting serving costs 96%.
TinyTorch: Build Your Own PyTorch from Scratch — Tensors to Transformers
TinyTorch is a free, open-source ML curriculum that guides you through building a deep learning framework from scratch — from tensors and autograd to Transformers.
Building a Reasoning Model From Scratch: Motivations and Setup from Sebastian's Lecture 1
Sebastian Raschka's new course Build A Reasoning Model From Scratch: tracing the LLM-to-reasoning-model evolution, the case for from-scratch learning, and UV-based PyTorch environment setup.
PyTorch Day Japan 2026 Coming to Tokyo on December 10
PyTorch Day Japan 2026 takes place in Tokyo on December 10, featuring technical talks and interactive discussions for the open-source AI community.
OpenArch: An Open-Source Project Reimplementing Modern LLM Architectures in PyTorch
OpenArch is an open-source PyTorch project reimplementing modern LLM architectures with a focus on clean, readable code. Learn about its value for learners and researchers.
TutorialsEfficient PyTorch Learning: A Source Code-Driven Methodology
A proven PyTorch learning method: spend 2-3 days on basics, then advance rapidly by reading U-Net and ViT source code line by line. Master PyTorch through source code-driven learning.
TutorialsPyTorch Beginner Tutorial: A Complete Guide to Tensor Operations and Neural Network Construction
A detailed PyTorch beginner guide covering tensor operations, dynamic computational graphs, GPU acceleration, and building your first neural network with nn.Module, with learning path recommendations and code examples.
TutorialsONNX Model Deployment in Practice: A Complete Guide from PyTorch Export to Cross-Framework Inference
Complete guide to ONNX neural network exchange format: PyTorch and TensorFlow model export, ONNX Runtime inference, MNIST classifier deployment, and HuggingFace model downloads with runnable code examples.
Tech FrontiersPaper-to-Notebook: Upload a Paper PDF and Generate PyTorch Code with One Click
Paper-to-Notebook is an open-source tool by VizuaraAI powered by Gemini 2.5 Pro that converts research paper PDFs into runnable PyTorch Jupyter Notebooks, accelerating AI paper reproduction.