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pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

What it does

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Summary based on the GitHub description (opens in a new tab)

What the README covers

  • More About PyTorch
  • A GPU-Ready Tensor Library
  • Dynamic Neural Networks: Tape-Based Autograd
  • Python First
  • Imperative Experiences
  • Fast and Lean
  • Extensions Without Pain
  • Installation
  • Binaries
  • From Source
  • Docker Image
  • Previous Versions

Getting started

Excerpt from the README · Checked 15 Oct 2026

bash
$ source <CONDA_INSTALL_DIR>/bin/activate
$ conda create -y -n <CONDA_NAME>
$ conda activate <CONDA_NAME>

Shown exactly as published. Top 200 Repos has not run or tested it. View in README (opens in a new tab)

Ranking trend

Global rank in each recorded snapshot. A lower number is a higher rank.

Global Rank · 2 Observed Snapshots · Lower Is Better · Gaps Indicate Missing Ranks

From #122 to #130 across 2 snapshots since 15 Oct 2026.

What people build with it

Reported by source

Get a new OCR model running on unfamiliar GPU hardware with Claude Code in a sandbox

Simon Willison gave Claude Code full permissions inside a Docker container on an NVIDIA Spark and had it get DeepSeek-OCR working; it took four prompts and under 40 minutes, with one nudge from him.

simonwillison.net · 20 Oct 2025anthropics/claude-code, pytorch/pytorch, huggingface/transformers