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PyTorch

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Deep learning framework.

Categories
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

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

  • r9y9/deepvoice3_pytorch

    PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

    Tagged pytorchPython

    2K

  • JavierAntoran/Bayesian-Neural-Networks

    Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

    Tagged pytorchJupyter Notebook

    2K

  • nobody132/masr

    中文语音识别; Mandarin Automatic Speech Recognition;

    Tagged pytorchPython

    2K

  • siliconflow/onediff

    OneDiff: An out-of-the-box acceleration library for diffusion models.

    Tagged pytorchJupyter Notebook

    2K

  • thu-coai/CDial-GPT

    A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

    Tagged pytorchPython

    2K

  • meta-pytorch/opacus

    Training PyTorch models with differential privacy

    Tagged pytorchPython

    2K

  • alibaba/EasyCV

    An all-in-one toolkit for computer vision

    Tagged pytorchPython

    2K

  • Fafa-DL/Awesome-Backbones

    Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

    Tagged pytorchPython

    2K

  • Po-Hsun-Su/pytorch-ssim

    pytorch structural similarity (SSIM) loss

    Tagged pytorchPython

    2K

  • carefree0910/carefree-creator

    AI magics meet Infinite draw board.

    Tagged pytorchJupyter Notebook

    1.9K

  • llvm/torch-mlir

    The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

    Tagged pytorchC++

    1.9K

  • black0017/MedicalZooPytorch

    A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

    Tagged pytorchPython

    1.9K

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

  • pytorch-ignite

    A lightweight library to help with training neural networks in PyTorch.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-kinematics

    Robot kinematics implemented in pytorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-lightning

    PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-memlab

    A lab to do simple and accurate memory experiments on pytorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-metric-learning

    The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-msssim

    Fast and differentiable MS-SSIM and SSIM for pytorch.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-optimizer

    optimizer & lr scheduler & objective function collections in PyTorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-ranger

    Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-revgrad

    A pytorch module (and function) to reverse gradients.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-seed

    RNG seeding and context management for pytorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-tabular

    A standard framework for using Deep Learning for tabular data

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-toolbelt

    PyTorch extensions for fast R&D prototyping and Kaggle farming

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it