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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

  • davidtvs/pytorch-lr-finder

    A learning rate range test implementation in PyTorch

    Tagged pytorchPython

    1K

  • NATSpeech/NATSpeech

    A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

    Tagged pytorchPython

    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

  • jkp-depth-anything-v2

    Depth Anything V2: Robust Monocular Depth Estimation

    Depends on torchPyPI

    Not published by PyPI
  • julius

    Nice DSP sweets: resampling, FFT Convolutions. All with PyTorch, differentiable and with CUDA support.

    Depends on torchPyPI

    Not published by PyPI
  • khoj

    Your Second Brain

    Depends on torchPyPI

    Not published by PyPI
  • kittenml

    Text-to-speech with voice cloning and expression control, plus ultra-lightweight models that run on CPU

    Depends on torchPyPI

    Not published by PyPI
  • kokoro

    TTS

    Depends on torchPyPI

    Not published by PyPI
  • kornia

    Open Source Differentiable Computer Vision Library for PyTorch

    Depends on torchPyPI

    Not published by PyPI
  • kronos-model-arch

    Kronos: A Foundation Model for the Language of Financial Markets

    Depends on torchPyPI

    Not published by PyPI
  • labml-nn

    🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠

    Depends on torchPyPI

    Not published by PyPI
  • lahgtna-omnivoice

    OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models

    Depends on torchPyPI

    Not published by PyPI
  • laya

    Fast, non-autoregressive System 1 decision engine with calibrated probabilities

    Depends on torchPyPI

    Not published by PyPI
  • lazyllm-magic-pdf

    A practical tool for converting PDF to Markdown

    Depends on torchPyPI

    Not published by PyPI
  • learnbyvideo-whisper

    Robust Speech Recognition via Large-Scale Weak Supervision

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it