Get Started

Technology · Framework

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

  • open-mmlab/mmpretrain

    OpenMMLab Pre-training Toolbox and Benchmark

    Tagged pytorchPython

    3.9K

  • mseitzer/pytorch-fid

    Compute FID scores with PyTorch.

    Tagged pytorchPython

    3.8K

  • yuanzhoulvpi2017/zero_nlp

    中文nlp解决方案(大模型、数据、模型、训练、推理)

    Tagged pytorchJupyter Notebook

    3.8K

  • predibase/lorax

    Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

    Tagged pytorchPython

    3.8K

  • lightly-ai/lightly

    A python library for self-supervised learning on images.

    Tagged pytorchPython

    3.8K

  • IAHispano/Applio

    A simple, high-quality voice conversion tool focused on ease of use and performance.

    Tagged pytorchPython

    3.8K

  • lucidrains/stylegan2-pytorch

    Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

    Tagged pytorchPython

    3.8K

  • polyaxon/polyaxon

    AI Infra / AI Orchestration / AI Control Plane

    Tagged pytorchMDX

    3.7K

  • christianversloot/machine-learning-articles

    🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

    Tagged pytorch

    3.7K

  • cleardusk/3DDFA

    The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

    Tagged pytorchPython

    3.7K

  • junxiaosong/AlphaZero_Gomoku

    An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

    Tagged pytorchPython

    3.6K

  • clovaai/stargan-v2

    StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

    Tagged pytorchPython

    3.6K

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

  • pykeen

    A package for training and evaluating multimodal knowledge graph embeddings

    Depends on torchPyPI

    Not published by PyPI
  • pypose

    A library for differentiable robotics on manifolds.

    Depends on torchPyPI

    Not published by PyPI
  • pypots

    A Python Toolbox for Machine Learning on Partially-Observed Time Series

    Depends on torchPyPI

    Not published by PyPI
  • pyreft

    REFT: Representation Finetuning for Language Models

    Depends on torchPyPI

    Not published by PyPI
  • pyro-ppl

    A Python library for probabilistic modeling and inference

    Depends on torchPyPI

    Not published by PyPI
  • pyserini

    A Python toolkit for reproducible information retrieval research with sparse and dense representations

    Depends on torchPyPI

    Not published by PyPI
  • pyserini-install

    A Python toolkit for reproducible information retrieval research with sparse and dense representations

    Depends on torchPyPI

    Not published by PyPI
  • pytabkit

    ML models + benchmark for tabular data classification and regression

    Depends on torchPyPI

    Not published by PyPI
  • python-doctr

    Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-fid

    Package for calculating Frechet Inception Distance (FID) using PyTorch

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-forecasting

    Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models

    Depends on torchPyPI

    Not published by PyPI
  • pytorch-frame

    Tabular Deep Learning Library for PyTorch

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it