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PyTorch

Framework · Meta · Catalog tech@1

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

  • uber/orbit

    A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

    Tagged pytorchPython

    2.1K

  • WenjieDu/PyPOTS

    A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

    Tagged pytorchPython

    2.1K

  • marcoslucianops/DeepStream-Yolo

    NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

    Tagged pytorchPython

    2.1K

  • cfzd/Ultra-Fast-Lane-Detection

    Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

    Tagged pytorchPython

    2.1K

  • jeshraghian/snntorch

    Deep and online learning with spiking neural networks in Python

    Tagged pytorchPython

    2.1K

  • facebookresearch/theseus

    A library for differentiable nonlinear optimization

    Tagged pytorchPython

    2.1K

  • tristandeleu/pytorch-meta

    A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

    Tagged pytorchPython

    2.1K

  • n00mkrad/flowframes

    Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)

    Tagged pytorchPython

    2.1K

  • deepmodeling/deepmd-kit

    A deep learning package for many-body potential energy representation and molecular dynamics

    Tagged pytorchPython

    2.1K

  • pykeen/pykeen

    🤖 A Python library for learning and evaluating knowledge graph embeddings

    Tagged torchPython

    2K

  • Curt-Park/rainbow-is-all-you-need

    Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

    Tagged pytorchPython

    2K

  • pkhungurn/talking-head-anime-demo

    Demo for the "Talking Head Anime from a Single Image."

    Tagged pytorchPython

    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

  • yolov5

    Packaged version of the Yolov5 object detector

    Depends on torchPyPI

    Not published by PyPI
  • yolov5-face

    Real-time face detection using YOLOv5 - Fork

    Depends on torchPyPI

    Not published by PyPI
  • yolov9py

    YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

    Depends on torchPyPI

    Not published by PyPI
  • yolox-datamint

    Depends on torchPyPI

    Not published by PyPI
  • yunchang

    a package for long context attention

    Depends on torchPyPI

    Not published by PyPI
  • zuko

    Normalizing flows in PyTorch

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it