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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

  • abhishekkrthakur/tez

    Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

    Tagged pytorchPython

    1.2K

  • facebookresearch/fairseq2

    FAIR Sequence Modeling Toolkit 2

    Tagged pytorchPython

    1.2K

  • braindotai/Watermark-Removal-Pytorch

    🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.

    Tagged pytorchJupyter Notebook

    1.1K

  • nnaisense/evotorch

    Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

    Tagged pytorchPython

    1.1K

  • THUMNLab/AutoGL

    An autoML framework & toolkit for machine learning on graphs.

    Tagged pytorchPython

    1.1K

  • sooftware/conformer

    [Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

    Tagged pytorchPython

    1.1K

  • youyuge34/Anime-InPainting

    An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

    Tagged pytorchPython

    1.1K

  • PriesiaMioShirakana/DragonianVoice

    多个SVC/TTS的C++推理库

    Tagged pytorchC

    1.1K

  • kenshohara/video-classification-3d-cnn-pytorch

    Video classification tools using 3D ResNet

    Tagged pytorchPython

    1.1K

  • KinWaiCheuk/nnAudio

    Audio processing by using pytorch 1D convolution network

    Tagged pytorchPython

    1.1K

  • flagos-ai/FlagGems

    FlagGems is an operator library for large language models implemented in the Triton Language.

    Tagged pytorchPython

    1.1K

  • julvo/reloading

    Change Python code while it's running without losing state

    Tagged pytorchPython

    1.1K

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

  • benchpots

    A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series

    Depends on torchPyPI

    Not published by PyPI
  • bert-demo

    Google AI 2018 BERT pytorch implementation

    Depends on torchPyPI

    Not published by PyPI
  • bert-score

    PyTorch implementation of BERT score

    Depends on torchPyPI

    Not published by PyPI
  • bert4torch

    an elegant bert4torch

    Depends on torchPyPI

    Not published by PyPI
  • bertviz

    Attention visualization tool for NLP Transformer models.

    Depends on torchPyPI

    Not published by PyPI
  • bhasa

    Mamba state-space model

    Depends on torchPyPI

    Not published by PyPI
  • bindsnet

    Spiking neural networks for ML in Python

    Depends on torchPyPI

    Not published by PyPI
  • birm-nm-foo

    Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization

    Depends on torchPyPI

    Not published by PyPI
  • bitnet

    bitnet - Pytorch

    Depends on torchPyPI

    Not published by PyPI
  • bitsandbytes

    k-bit optimizers and matrix multiplication routines.

    Depends on torchPyPI

    Not published by PyPI
  • boat-torch

    BOAT: A Compositional Operation Toolbox for Gradient-based Bi-Level Optimization

    Depends on torchPyPI

    Not published by PyPI
  • botorch

    Bayesian Optimization in PyTorch

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it