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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

  • rtdl-num-embeddings

    On Embeddings for Numerical Features in Tabular Deep Learning.

    Depends on torchPyPI

    Not published by PyPI
  • runai-model-streamer

    Depends on torchPyPI

    Not published by PyPI
  • s3tokenizer

    Reverse Engineering of Supervised Semantic Speech Tokenizer (S3Tokenizer) proposed in CosyVoice

    Depends on torchPyPI

    Not published by PyPI
  • s3torchconnector

    S3 connector integration for PyTorch

    Depends on torchPyPI

    Not published by PyPI
  • scgpt

    Large-scale generative pretrain of single cell using transformer.

    Depends on torchPyPI

    Not published by PyPI
  • schedulefree

    Schedule Free Learning in PyTorch

    Depends on torchPyPI

    Not published by PyPI
  • scvi-tools

    Deep probabilistic analysis of single-cell omics data.

    Depends on torchPyPI

    Not published by PyPI
  • sdgx

    synthetic-data-generator

    Depends on torchPyPI

    Not published by PyPI
  • secretflow

    SecretFlow

    Depends on torchPyPI

    Not published by PyPI
  • segment-geospatial

    Meta AI's Segment Anything Model (SAM) for Geospatial Data.

    Depends on torchPyPI

    Not published by PyPI
  • segmentation-models-pytorch

    Image segmentation models with pre-trained backbones. PyTorch.

    Depends on torchPyPI

    Not published by PyPI
  • self-rewarding-lm-pytorch

    Self Rewarding LM - Pytorch

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it