Technology · Framework

PyTorch

Framework · Meta · Catalog tech@1

Deep learning framework.

Matched as
  • pytorch
  • torch

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. PyTorch has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.103,616 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 2.2 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of PyTorch’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of PyTorch’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
2published events that mention it
Events · 30 days
2published events that mention it
Previous 30 days
0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

  • pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Official repositoryPython

    103.6K stars

Members 794repositories tagged with one of its aliases, most-starred first

  • Bjarten/early-stopping-pytorch

    Early stopping for PyTorch

    Tagged pytorchJupyter Notebook

    1.3K stars

  • kennymckormick/pyskl

    A toolbox for skeleton-based action recognition.

    Tagged pytorchPython

    1.3K stars

  • pprp/SimpleCVReproduction

    Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

    Tagged pytorchJupyter Notebook

    1.3K stars

  • unum-cloud/UForm

    Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

    Tagged pytorchPython

    1.3K stars

  • VainF/pytorch-msssim

    Fast and differentiable MS-SSIM and SSIM for pytorch.

    Tagged pytorchPython

    1.3K stars

  • davidmrau/mixture-of-experts

    PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

    Tagged pytorchPython

    1.3K stars

  • Fantasy-Studio/Paint-by-Example

    Paint by Example: Exemplar-based Image Editing with Diffusion Models

    Tagged pytorchPython

    1.3K stars

  • leftthomas/SRGAN

    A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

    Tagged pytorchPython

    1.3K stars

  • kamalkraj/BERT-NER

    Pytorch-Named-Entity-Recognition-with-BERT

    Tagged pytorchPython

    1.3K stars

  • ranahanocka/point2mesh

    Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

    Tagged pytorchPython

    1.2K stars

  • mravanelli/SincNet

    SincNet is a neural architecture for efficiently processing raw audio samples.

    Tagged pytorchPython

    1.2K stars

  • ShannonAI/service-streamer

    Boosting your Web Services of Deep Learning Applications.

    Tagged pytorchPython

    1.2K stars

Packages

“Is” packages are PyTorch itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

  • torch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Listed in the catalogPyPI

    Not published by PyPI

Ecosystem 582packages that depend on it, most-adopted first

  • auto-round

    Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-kernel

    Auto Round Kernel binary package

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-lib

    Auto Round Kernel binary package

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-nightly

    Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

    Depends on torchPyPI

    Not published by PyPI
  • autogluon-multimodal

    Fast and Accurate ML in 3 Lines of Code

    Depends on torchPyPI

    Not published by PyPI
  • autogluon-timeseries

    Fast and Accurate ML in 3 Lines of Code

    Depends on torchPyPI

    Not published by PyPI
  • avalanche-lib

    Avalanche: a Comprehensive Framework for Continual Learning Research

    Depends on torchPyPI

    Not published by PyPI
  • axolotl

    LLM Trainer

    Depends on torchPyPI

    Not published by PyPI
  • b10-xgrammar

    Efficient, Flexible and Portable Structured Generation

    Depends on torchPyPI

    Not published by PyPI
  • backgroundremover

    Background remover from image and video using AI

    Depends on torchPyPI

    Not published by PyPI
  • batchgeneratorsv2

    Batchgenerators but better

    Depends on torchPyPI

    Not published by PyPI
  • beat-this

    Beat This! beat tracker

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it