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

• open-mmlab/mmrazor

  OpenMMLab Model Compression Toolbox and Benchmark.

  Tagged pytorchPython

  1.7K stars

• takuseno/d3rlpy

  An offline deep reinforcement learning library

  Tagged pytorchPython

  1.7K stars

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Tagged pytorchPython

  1.7K stars

• YuliangXiu/ICON

  [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

  Tagged pytorchPython

  1.7K stars

• argusswift/YOLOv4-pytorch

  This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

  Tagged pytorchPython

  1.7K stars

• mit-han-lab/torchquantum

  A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

  Tagged pytorchJupyter Notebook

  1.7K stars

• Data-Centric-AI-Community/fg-data-synthetic

  Synthetic data generators for tabular and time-series data

  Tagged pytorchJupyter Notebook

  1.7K stars

• rwightman/efficientdet-pytorch

  A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

  Tagged pytorchPython

  1.7K stars

• opendilab/LightZero

  [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

  Tagged pytorchPython

  1.6K stars

• kan-bayashi/ParallelWaveGAN

  Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

  Tagged pytorchJupyter Notebook

  1.6K stars

• InterDigitalInc/CompressAI

  A PyTorch library and evaluation platform for end-to-end compression research

  Tagged pytorchPython

  1.6K stars

• ymcui/Chinese-XLNet

  Pre-Trained Chinese XLNet（中文XLNet预训练模型）

  Tagged pytorchPython

  1.6K 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

• humming-kernels

  JIT-compiled GPU GEMM kernels for quantized inference

  Depends on torchPyPI

  —Not published by PyPI
• hummingbird-ml

  Convert trained traditional machine learning models into tensor computations

  Depends on torchPyPI

  —Not published by PyPI
• hyper-connections

  Hyper-Connections

  Depends on torchPyPI

  —Not published by PyPI
• imagededup

  Package for image deduplication

  Depends on torchPyPI

  —Not published by PyPI
• imagen-pytorch

  Imagen - unprecedented photorealism × deep level of language understanding

  Depends on torchPyPI

  —Not published by PyPI
• imitation

  Implementation of modern reward and imitation learning algorithms.

  Depends on torchPyPI

  —Not published by PyPI
• imitation-qjm

  Implementation of modern reward and imitation learning algorithms.

  Depends on torchPyPI

  —Not published by PyPI
• instanttensor

  An ultra-fast, distributed Safetensors loader

  Depends on torchPyPI

  —Not published by PyPI
• invisible-watermark

  The library for creating and decoding invisible image watermarks

  Depends on torchPyPI

  —Not published by PyPI
• invokeai

  A full-featured AI-assisted image generation environment designed for creatives and enthusiasts.

  Depends on torchPyPI

  —Not published by PyPI
• isat-sam

  Interactive semi-automatic annotation tool for image segmentation based on SAM(segment anything model).

  Depends on torchPyPI

  —Not published by PyPI
• isat-sam-backend

  ISAT SAM encoding backend.

  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
  43h agoOCT 24, 2026
• Integrating TorchTPU into TorchTitan and Optimizing Models for TPU2 sources
  3d agoOCT 22, 2026
• Profiling in PyTorch (Part 3): Attention is all you profile1 source
  4mo agoJUL 10, 2026