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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

  • JaidedAI/EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

    Tagged pytorchPython

    30K

  • deepinsight/insightface

    State-of-the-art 2D and 3D Face Analysis Project

    Tagged pytorchPython

    29.9K

  • d2l-ai/d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

    Tagged pytorchPython

    29.7K

  • nagadomi/waifu2x

    Image Super-Resolution for Anime-Style Art

    Tagged torchLua

    28.2K

  • fastai/fastai

    The fastai deep learning library

    Tagged pytorchJupyter Notebook

    28.2K

  • Anjok07/ultimatevocalremovergui

    GUI for a Vocal Remover that uses Deep Neural Networks.

    Tagged pytorchPython

    26.5K

  • WZMIAOMIAO/deep-learning-for-image-processing

    deep learning for image processing including classification and object-detection etc.

    Tagged pytorchPython

    26.4K

  • microsoft/JARVIS

    JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

    Tagged pytorchPython

    25.4K

  • junyanz/pytorch-CycleGAN-and-pix2pix

    Image-to-Image Translation in PyTorch

    Tagged pytorchPython

    25.3K

  • pyg-team/pytorch_geometric

    Graph Neural Network Library for PyTorch

    Tagged pytorchPython

    24.1K

  • Tencent/ncnn

    ncnn is a high-performance neural network inference framework optimized for the mobile platform

    Tagged pytorchC++

    23.9K

  • huggingface/datasets

    🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

    Tagged pytorchPython

    22K

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

  • humming-kernels

    JIT-compiled GPU GEMM kernels for quantized inference

    Depends on torchPyPI

    Not published by PyPI
  • hummingbird-ml

    Convert trained traditional machine learning models into tensor computations

    Depends on torchPyPI

    Not published by PyPI
  • hyper-connections

    Hyper-Connections

    Depends on torchPyPI

    Not published by PyPI
  • imagededup

    Package for image deduplication

    Depends on torchPyPI

    Not published by PyPI
  • imagen-pytorch

    Imagen - unprecedented photorealism × deep level of language understanding

    Depends on torchPyPI

    Not published by PyPI
  • imitation

    Implementation of modern reward and imitation learning algorithms.

    Depends on torchPyPI

    Not published by PyPI
  • imitation-qjm

    Implementation of modern reward and imitation learning algorithms.

    Depends on torchPyPI

    Not published by PyPI
  • instanttensor

    An ultra-fast, distributed Safetensors loader

    Depends on torchPyPI

    Not published by PyPI
  • invisible-watermark

    The library for creating and decoding invisible image watermarks

    Depends on torchPyPI

    Not published by PyPI
  • invokeai

    A full-featured AI-assisted image generation environment designed for creatives and enthusiasts.

    Depends on torchPyPI

    Not published by PyPI
  • isat-sam

    Interactive semi-automatic annotation tool for image segmentation based on SAM(segment anything model).

    Depends on torchPyPI

    Not published by PyPI
  • isat-sam-backend

    ISAT SAM encoding backend.

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it