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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

  • superduper-io/superduper

    Superduper: End-to-end framework for building custom AI applications and agents.

    Tagged pytorchPython

    5.3K

  • yunjey/stargan

    StarGAN - Official PyTorch Implementation (CVPR 2018)

    Tagged pytorchPython

    5.3K

  • awslabs/gluonts

    Probabilistic time series modeling in Python

    Tagged pytorchPython

    5.2K

  • wenet-e2e/wenet

    Production First and Production Ready End-to-End Speech Recognition Toolkit

    Tagged pytorchPython

    5.2K

  • dbolya/yolact

    A simple, fully convolutional model for real-time instance segmentation.

    Tagged pytorchPython

    5.2K

  • zylo117/Yet-Another-EfficientDet-Pytorch

    The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

    Tagged pytorchJupyter Notebook

    5.2K

  • amdegroot/ssd.pytorch

    A PyTorch Implementation of Single Shot MultiBox Detector

    Tagged pytorchPython

    5.2K

  • neuralchen/SimSwap

    An arbitrary face-swapping framework on images and videos with one single trained model!

    Tagged pytorchPython

    5.2K

  • NVIDIAGameWorks/kaolin

    A PyTorch Library for Accelerating 3D Deep Learning Research

    Tagged pytorchPython

    5.2K

  • dmMaze/BallonsTranslator

    深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning

    Tagged pytorchPython

    5.2K

  • timesler/facenet-pytorch

    Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

    Tagged pytorchPython

    5.2K

  • open-mmlab/mmaction2

    OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

    Tagged pytorchPython

    5.2K

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

  • vsa

    Video Sparse Attention Kernel Used in FastVideo

    Depends on torchPyPI

    Not published by PyPI
  • wan22

    Wan: Open and Advanced Large-Scale Video Generative Models

    Depends on torchPyPI

    Not published by PyPI
  • wespeaker-unofficial

    WeSpeaker (unofficial build): A Research and Production Oriented Speaker Embedding Learning Toolkit

    Depends on torchPyPI

    Not published by PyPI
  • wfgy-sdk

    WFGY 1.0 • Self-Healing LLM Framework SDK

    Depends on torchPyPI

    Not published by PyPI
  • whisl

    Real-time speech-to-text with speaker diarization using Whisper

    Depends on torchPyPI

    Not published by PyPI
  • whisper-applemps

    Robust Speech Recognition via Large-Scale Weak Supervision

    Depends on torchPyPI

    Not published by PyPI
  • whisper-live

    A nearly-live implementation of OpenAI's Whisper.

    Depends on torchPyPI

    Not published by PyPI
  • whisper-s2t-reborn

    A streamlined Speech-to-Text pipeline for Whisper using CTranslate2

    Depends on torchPyPI

    Not published by PyPI
  • whisperl

    Real-time speech-to-text with speaker diarization using Whisper

    Depends on torchPyPI

    Not published by PyPI
  • whisperlivekit

    Real-time speech-to-text models

    Depends on torchPyPI

    Not published by PyPI
  • whisperx

    Time-Accurate Automatic Speech Recognition using Whisper.

    Depends on torchPyPI

    Not published by PyPI
  • whisperx-fix

    Time-Accurate Automatic Speech Recognition using Whisper.

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it