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 signalsNo 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
103.6K stars
Members 794repositories tagged with one of its aliases, most-starred first
- tsurumeso/vocal-remover
Vocal Remover using Deep Neural Networks
1.8K stars
- GAP-LAB-CUHK-SZ/gaustudio
A Modular Framework for 3D Gaussian Splatting and Beyond
1.8K stars
- WXinlong/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
1.8K stars
- gram-ai/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
1.8K stars
- rusty1s/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
1.7K stars
- bearpaw/pytorch-classification
Classification with PyTorch.
1.7K stars
- NVlabs/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
1.7K stars
- cszn/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
1.7K stars
- zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
1.7K stars
- ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
1.7K stars
- stas00/the-art-of-debugging
The Art of Debugging Open Book
1.7K stars
- meta-pytorch/tnt
A lightweight library for PyTorch training tools and utilities
1.7K stars
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
Not published by PyPI
Ecosystem 582packages that depend on it, most-adopted first
- torchscale
Transformers at any scale
Not published by PyPI - torchscale-gml
Transformers at any scale
Not published by PyPI - torchsde
SDE solvers and stochastic adjoint sensitivity analysis in PyTorch.
Not published by PyPI - torchsr
Super Resolution Networks for pytorch
Not published by PyPI - torchtext
Text utilities, models, transforms, and datasets for PyTorch.
Not published by PyPI - torchtnt
A lightweight library for PyTorch training tools and utilities
Not published by PyPI - torchtyping
Runtime type annotations for the shape, dtype etc. of PyTorch Tensors.
Not published by PyPI - torchvision
image and video datasets and models for torch deep learning
Not published by PyPI - torchviz
A small package to create visualizations of PyTorch execution graphs
Not published by PyPI - torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models
Not published by PyPI - totalsegmentator
Robust segmentation of 117 classes in CT images.
Not published by PyPI - transformer-engine-torch
Transformer acceleration library - Torch Lib
Not published by PyPI
Latest news the 3 latest events that mention it
- 36h agoOCT 24, 2026
- 3d agoOCT 22, 2026
- 4mo agoJUL 10, 2026