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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

  • DachunKai/EvTexture

    [ICML 2024 & TPAMI 2026] EvTexture & EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution

    Tagged pytorchPython

    1.2K

  • pdebench/PDEBench

    PDEBench: An Extensive Benchmark for Scientific Machine Learning

    Tagged pytorchPython

    1.2K

  • toshas/torch-fidelity

    High-fidelity performance metrics for generative models in PyTorch

    Tagged pytorchPython

    1.2K

  • cloneofsimo/minDiffusion

    Self-contained, minimalistic implementation of diffusion models with Pytorch.

    Tagged pytorchPython

    1.2K

  • openvinotoolkit/nncf

    Neural Network Compression Framework for enhanced OpenVINO™ inference

    Tagged pytorchPython

    1.2K

  • mlmed/torchxrayvision

    TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

    Tagged pytorchJupyter Notebook

    1.2K

  • DeepWisdom/AutoDL

    Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

    Tagged pytorchPython

    1.2K

  • a-r-j/graphein

    Protein Graph Library

    Tagged pytorchJupyter Notebook

    1.2K

  • huggingface/hmtl

    🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

    Tagged pytorchPython

    1.2K

  • sgl-project/SpecForge

    Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

    Tagged pytorchPython

    1.2K

  • VITA-Group/DeblurGANv2

    [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

    Tagged pytorchPython

    1.2K

  • altosaar/variational-autoencoder

    Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

    Tagged pytorchPython

    1.2K

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

  • auto-round

    Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-kernel

    Auto Round Kernel binary package

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-lib

    Auto Round Kernel binary package

    Depends on torchPyPI

    Not published by PyPI
  • auto-round-nightly

    Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs

    Depends on torchPyPI

    Not published by PyPI
  • autogluon-multimodal

    Fast and Accurate ML in 3 Lines of Code

    Depends on torchPyPI

    Not published by PyPI
  • autogluon-timeseries

    Fast and Accurate ML in 3 Lines of Code

    Depends on torchPyPI

    Not published by PyPI
  • avalanche-lib

    Avalanche: a Comprehensive Framework for Continual Learning Research

    Depends on torchPyPI

    Not published by PyPI
  • axolotl

    LLM Trainer

    Depends on torchPyPI

    Not published by PyPI
  • b10-xgrammar

    Efficient, Flexible and Portable Structured Generation

    Depends on torchPyPI

    Not published by PyPI
  • backgroundremover

    Background remover from image and video using AI

    Depends on torchPyPI

    Not published by PyPI
  • batchgeneratorsv2

    Batchgenerators but better

    Depends on torchPyPI

    Not published by PyPI
  • beat-this

    Beat This! beat tracker

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it