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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

  • AshwinRJ/Federated-Learning-PyTorch

    Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

    Tagged pytorchPython

    1.4K

  • voice-cloning-app/Voice-Cloning-App

    A Python/Pytorch app for easily synthesising human voices

    Tagged pytorchPython

    1.4K

  • ymcui/Chinese-ELECTRA

    Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

    Tagged pytorchPython

    1.4K

  • KaiyangZhou/Dassl.pytorch

    A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

    Tagged pytorchPython

    1.4K

  • nianticlabs/simplerecon

    [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

    Tagged pytorchPython

    1.4K

  • qfgaohao/pytorch-ssd

    MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

    Tagged pytorchPython

    1.4K

  • wenet-e2e/wespeaker

    Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

    Tagged pytorchPython

    1.4K

  • kitops-ml/kitops

    An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

    Tagged pytorchGo

    1.4K

  • Tencent-Hunyuan/AuK

    AuK: An Open-Source Foundational Model for Speech Generation and Editing

    Tagged pytorchPython

    1.4K

  • apple-aiml-research/ml-aim

    This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

    Tagged pytorchPython

    1.4K

  • torchgan/torchgan

    Research Framework for easy and efficient training of GANs based on Pytorch

    Tagged pytorchPython

    1.4K

  • SKTBrain/KoBERT

    Korean BERT pre-trained cased (KoBERT)

    Tagged pytorchPython

    1.4K

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

  • semilearn

    Unfied Semi-Supervised Learning Benchmark

    Depends on torchPyPI

    Not published by PyPI
  • sentence-transformers

    Embeddings, Retrieval, and Reranking

    Depends on torchPyPI

    Not published by PyPI
  • sgl-deep-ep

    Depends on torchPyPI

    Not published by PyPI
  • sgl-fa4

    Flash Attention CUTE (CUDA Template Engine) implementation

    Depends on torchPyPI

    Not published by PyPI
  • sglang

    SGLang is a fast serving framework for large language models and vision language models.

    Depends on torchPyPI

    Not published by PyPI
  • sglang-kernel

    Kernel Library for SGLang

    Depends on torchPyPI

    Not published by PyPI
  • sglang-kt

    SGLang is a fast serving framework for large language models and vision language models.

    Depends on torchPyPI

    Not published by PyPI
  • sglang-omni

    Multi-stage pipeline framework for omni models

    Depends on torchPyPI

    Not published by PyPI
  • silero-vad

    Voice Activity Detector (VAD) by Silero

    Depends on torchPyPI

    Not published by PyPI
  • simba-core

    Knowledge Management System that connects to your RAG system

    Depends on torchPyPI

    Not published by PyPI
  • simple-lama-inpainting

    Depends on torchPyPI

    Not published by PyPI
  • simple-romp

    ROMP [ICCV21], BEV [CVPR22], TRACE [CVPR23]

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it