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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

  • facebookresearch/large_concept_model

    Large Concept Models: Language modeling in a sentence representation space

    Tagged pytorchPython

    2.4K

  • r9y9/wavenet_vocoder

    WaveNet vocoder

    Tagged pytorchPython

    2.4K

  • jik876/hifi-gan

    HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

    Tagged pytorchPython

    2.4K

  • isl-org/Open3D-ML

    An extension of Open3D to address 3D Machine Learning tasks

    Tagged pytorchPython

    2.4K

  • moskomule/senet.pytorch

    PyTorch implementation of SENet

    Tagged pytorchPython

    2.3K

  • dvmazur/mixtral-offloading

    Run Mixtral-8x7B models in Colab or consumer desktops

    Tagged pytorchPython

    2.3K

  • labmlai/labml

    🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

    Tagged pytorchPython

    2.3K

  • ufoym/imbalanced-dataset-sampler

    A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

    Tagged pytorchPython

    2.3K

  • OAID/TengineKit

    TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

    Tagged pytorchC++

    2.3K

  • hzwer/ICCV2019-LearningToPaint

    ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

    Tagged pytorchPython

    2.3K

  • IDEA-Research/detrex

    detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

    Tagged pytorchPython

    2.3K

  • beir-cellar/beir

    A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

    Tagged pytorchPython

    2.3K

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-wavelets

    A port of the DTCWT toolbox to run on pytorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-widedeep

    Combine tabular data with text and images using Wide and Deep models in Pytorch

    Depends on torchPyPI

    Not published by PyPI
  • quack-kernels

    Depends on torchPyPI

    Not published by PyPI
  • ragatouille

    Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.

    Depends on torchPyPI

    Not published by PyPI
  • rastervision-pytorch-learner

    A rastervision plugin that adds PyTorch training pipelines

    Depends on torchPyPI

    Not published by PyPI
  • realesrgan

    Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration

    Depends on torchPyPI

    Not published by PyPI
  • realesrgan-enhanced

    Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration

    Depends on torchPyPI

    Not published by PyPI
  • realtimestt

    A fast Voice Activity Detection and Transcription System

    Depends on torchPyPI

    Not published by PyPI
  • recbole

    A unified, comprehensive and efficient recommendation library

    Depends on torchPyPI

    Not published by PyPI
  • refuel-autolabel

    Label, clean and enrich text datasets with LLMs

    Depends on torchPyPI

    Not published by PyPI
  • resemble-enhance

    Speech denoising and enhancement with deep learning

    Depends on torchPyPI

    Not published by PyPI
  • resemblyzer

    Analyze and compare voices with deep learning

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it