Hackernews posts about PyTorch
PyTorch is an open-source machine learning library for Python that provides a seamless interface between dynamic computation graphs and automatic differentiation.
- 20x less peak RAM in the new PyTorch memory budget solver (jedrzej.maczan.pl)
- Show HN: WebGPU back end for PyTorch sneak peek (github.com)
- NeuralOperator Joins the PyTorch Ecosystem (pytorch.org)
- How PyTorch Generates Random Numbers in Parallel on the GPU (blog.codingconfessions.com)
- GBNet: XGBoost and LightGBM Modules for PyTorch (github.com)
- Show HN: Hirschberg Algorithm in PyTorch (jedrzej.maczan.pl)
- Refining my process of attacking large codebases and contributing to PyTorch (michaelgathara.org)
- Google to make TPUs feel native to PyTorch as it targets Nvidia (techinformed.com)
- Leaving Meta and PyTorch (soumith.ch)
- A bug that taught me more about PyTorch than years of using it (elanapearl.github.io)
- A supply chain attack on PyTorch (johnstawinski.com)
- PyTorch Internals: Ezyang's Blog (blog.ezyang.com)
- PyTorch Monarch (pytorch.org)
- PyTorch Library for Running LLM on Intel CPU and GPU (github.com)
- Show HN: Torch Lens Maker – Differentiable Geometric Optics in PyTorch (victorpoughon.github.io)
- Using uv with PyTorch (docs.astral.sh)
- PyTorch Native Architecture Optimization: Torchao (pytorch.org)
- Run Llama locally with only PyTorch on CPU (github.com)
- Build and train GPT-2 from scratch using PyTorch (differ.blog)
- Designing bridge trusses with Pytorch autograd (github.com)
- How I solved PyTorch's cross-platform nightmare (svana.name)
- PyTorch 101: Understanding Graphs, Automatic Differentiation and Autograd (www.digitalocean.com)
- llm.c is now down to 26.2ms/iteration, matching PyTorch (twitter.com)