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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

  • ayooshkathuria/pytorch-yolo-v3

    A PyTorch implementation of the YOLO v3 object detection algorithm

    Tagged pytorchPython

    3.3K

  • NVIDIA/physicsnemo

    Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

    Tagged pytorchPython

    3.3K

  • open-mmlab/mmselfsup

    OpenMMLab Self-Supervised Learning Toolbox and Benchmark

    Tagged pytorchPython

    3.3K

  • deepdoctection/deepdoctection

    A Repo For Document AI

    Tagged pytorchPython

    3.3K

  • zhanghang1989/ResNeSt

    ResNeSt: Split-Attention Networks

    Tagged pytorchPython

    3.3K

  • lakesoul-io/LakeSoul

    LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

    Tagged pytorchRust

    3.3K

  • Pointcept/Pointcept

    Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

    Tagged pytorchPython

    3.2K

  • determined-ai/determined

    Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

    Tagged pytorchGo

    3.2K

  • seungeunrho/minimalRL

    Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

    Tagged pytorchPython

    3.2K

  • mkocabas/VIBE

    Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

    Tagged pytorchPython

    3.2K

  • webdataset/webdataset

    A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

    Tagged pytorchPython

    3.2K

  • Djdefrag/QualityScaler

    QualityScaler - image/video AI upscaler app

    Tagged pytorchPython

    3.2K

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

  • deepspeed

    DeepSpeed library

    Depends on torchPyPI

    Not published by PyPI
  • deepspeed-mii

    deepspeed mii

    Depends on torchPyPI

    Not published by PyPI
  • demucs

    Music source separation in the waveform domain.

    Depends on torchPyPI

    Not published by PyPI
  • denoising-diffusion-pytorch

    Denoising Diffusion Probabilistic Models - Pytorch

    Depends on torchPyPI

    Not published by PyPI
  • depthflow

    🌊 Images to 3D parallax effect videos

    Depends on torchPyPI

    Not published by PyPI
  • descript-audio-codec

    A high-quality general neural audio codec.

    Depends on torchPyPI

    Not published by PyPI
  • descript-audio-codec-unofficial

    A high-quality general neural audio codec.

    Depends on torchPyPI

    Not published by PyPI
  • descript-audiotools

    Utilities for handling audio.

    Depends on torchPyPI

    Not published by PyPI
  • detoxify

    A python library for detecting toxic comments

    Depends on torchPyPI

    Not published by PyPI
  • di-engine

    Decision AI Engine

    Depends on torchPyPI

    Not published by PyPI
  • diart

    A python framework to build AI for real-time speech

    Depends on torchPyPI

    Not published by PyPI
  • diffq

    Differentiable quantization framework for PyTorch.

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it