PyTorch

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

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 stars

Members 794repositories tagged with one of its aliases, most-starred first

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Tagged pytorchPython

  1.2K stars

• facebookresearch/fairseq2

  FAIR Sequence Modeling Toolkit 2

  Tagged pytorchPython

  1.2K stars

• braindotai/Watermark-Removal-Pytorch

  🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.

  Tagged pytorchJupyter Notebook

  1.1K stars

• nnaisense/evotorch

  Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

  Tagged pytorchPython

  1.1K stars

• THUMNLab/AutoGL

  An autoML framework & toolkit for machine learning on graphs.

  Tagged pytorchPython

  1.1K stars

• sooftware/conformer

  [Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

  Tagged pytorchPython

  1.1K stars

• youyuge34/Anime-InPainting

  An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

  Tagged pytorchPython

  1.1K stars

• PriesiaMioShirakana/DragonianVoice

  多个SVC/TTS的C++推理库

  Tagged pytorchC

  1.1K stars

• kenshohara/video-classification-3d-cnn-pytorch

  Video classification tools using 3D ResNet

  Tagged pytorchPython

  1.1K stars

• KinWaiCheuk/nnAudio

  Audio processing by using pytorch 1D convolution network

  Tagged pytorchPython

  1.1K stars

• flagos-ai/FlagGems

  FlagGems is an operator library for large language models implemented in the Triton Language.

  Tagged pytorchPython

  1.1K stars

• julvo/reloading

  Change Python code while it's running without losing state

  Tagged pytorchPython

  1.1K 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

  Listed in the catalogPyPI

  —Not published by PyPI

Ecosystem 582packages that depend on it, most-adopted first

• garak

  LLM vulnerability scanner

  Depends on torchPyPI

  —Not published by PyPI
• gdinopy

  open-set object detector

  Depends on torchPyPI

  —Not published by PyPI
• geoai-py

  A Python package for using Artificial Intelligence (AI) with geospatial data

  Depends on torchPyPI

  —Not published by PyPI
• geomloss

  Geometric loss functions between point clouds, images and volumes.

  Depends on torchPyPI

  —Not published by PyPI
• geoopt

  Unofficial implementation for “Riemannian Adaptive Optimization Methods” ICLR2019 and more

  Depends on torchPyPI

  —Not published by PyPI
• gfpgan

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration

  Depends on torchPyPI

  —Not published by PyPI
• giga-train

  GigaTrain: An Efficient and Scalable Training Framework for AI Models

  Depends on torchPyPI

  —Not published by PyPI
• gliner

  Generalist model for NER (Extract any entity types from texts)

  Depends on torchPyPI

  —Not published by PyPI
• gliner-py

  Generalist model for NER (Extract any entity types from texts). Fork of the original project to relax the strict Transformers version requirement.

  Depends on torchPyPI

  —Not published by PyPI
• gptqmodel

  Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.

  Depends on torchPyPI

  —Not published by PyPI
• grad-cam

  Many Class Activation Map methods implemented in Pytorch for classification, segmentation, object detection and more

  Depends on torchPyPI

  —Not published by PyPI
• groundingdino-iscas

  open-set object detector

  Depends on torchPyPI

  —Not published by PyPI

Latest news the 3 latest events that mention it

• Announcing New vLLM and SGLang Inference Engines on TPU1 source
  24h agoOCT 24, 2026
• Integrating TorchTPU into TorchTitan and Optimizing Models for TPU2 sources
  2d agoOCT 22, 2026
• Profiling in PyTorch (Part 3): Attention is all you profile1 source
  4mo agoJUL 10, 2026