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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

  • szagoruyko/attention-transfer

    Improving Convolutional Networks via Attention Transfer (ICLR 2017)

    Tagged pytorchJupyter Notebook

    1.5K

  • buppt/ChineseNER

    中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

    Tagged pytorchPython

    1.5K

  • devnen/Chatterbox-TTS-Server

    Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.

    Tagged pytorchPython

    1.5K

  • MLReef/mlreef

    The collaboration workspace for Machine Learning

    Tagged pytorchKotlin

    1.5K

  • pytorch/gloo

    Collective communications library with various primitives for multi-machine training.

    Tagged pytorchC++

    1.5K

  • nerfstudio-project/nerfacc

    A General NeRF Acceleration Toolbox in PyTorch.

    Tagged pytorchPython

    1.5K

  • microsoft/NeuronBlocks

    NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

    Tagged pytorchPython

    1.5K

  • zama-ai/concrete-ml

    Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

    Tagged torchPython

    1.5K

  • dmmiller612/bert-extractive-summarizer

    Easy to use extractive text summarization with BERT

    Tagged pytorchPython

    1.5K

  • dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

    In PyTorch Learing Neural Networks Likes CNN、BiLSTM

    Tagged pytorchPython

    1.5K

  • nod-ai/AMD-SHARK-Studio

    AMD-SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution

    Tagged pytorchPython

    1.5K

  • BachiLi/redner

    Differentiable rendering without approximation.

    Tagged pytorchNASL

    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

  • manga-ocr

    OCR for Japanese manga

    Depends on torchPyPI

    Not published by PyPI
  • marker-pdf

    Convert documents to markdown with high speed and accuracy.

    Depends on torchPyPI

    Not published by PyPI
  • mattergen

    MatterGen is a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.

    Depends on torchPyPI

    Not published by PyPI
  • mattergen-module-unofficial-akashkesav

    MatterGen is a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.

    Depends on torchPyPI

    Not published by PyPI
  • medmnist

    [MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 224

    Depends on torchPyPI

    Not published by PyPI
  • megablocks

    MegaBlocks

    Depends on torchPyPI

    Not published by PyPI
  • megatron-core

    Megatron Core - a library for efficient and scalable training of transformer based models

    Depends on torchPyPI

    Not published by PyPI
  • megatron-fsdp

    **Megatron-FSDP** is an NVIDIA-developed PyTorch extension that provides a high-performance implementation of Fully Sharded Data Parallelism (FSDP)

    Depends on torchPyPI

    Not published by PyPI
  • megatts

    MegaTTS 3 - A lightweight and efficient TTS system with ultra high-quality voice cloning

    Depends on torchPyPI

    Not published by PyPI
  • memorisdk

    Memori Python SDK

    Depends on torchPyPI

    Not published by PyPI
  • memos

    A package for Pensieve (previously known as memos)

    Depends on torchPyPI

    Not published by PyPI
  • metatensor-torch

    TorchScript bindings for metatensor

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it