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PyTorch
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Deep learning framework.
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- 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
- 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.
1.2K stars
- facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
1.2K stars
- braindotai/Watermark-Removal-Pytorch
🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
1.1K stars
- nnaisense/evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
1.1K stars
- THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
1.1K stars
- sooftware/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
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
1.1K stars
- PriesiaMioShirakana/DragonianVoice
多个SVC/TTS的C++推理库
1.1K stars
- kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
1.1K stars
- KinWaiCheuk/nnAudio
Audio processing by using pytorch 1D convolution network
1.1K stars
- flagos-ai/FlagGems
FlagGems is an operator library for large language models implemented in the Triton Language.
1.1K stars
- julvo/reloading
Change Python code while it's running without losing state
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
Not published by PyPI
Ecosystem 582packages that depend on it, most-adopted first
- torch-pruning
Towards Any Structural Pruning
Not published by PyPI - torch-rechub
A lightweight, efficient, and easy-to-use PyTorch recommendation system framework.
Not published by PyPI - torch-stoi
Computes Short Term Objective Intelligibility in PyTorch
Not published by PyPI - torch-tensorrt
Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT while remaining in PyTorch
Not published by PyPI - torch-tensorrt-rtx
Torch-TensorRT is a package which allows users to automatically compile PyTorch and TorchScript modules to TensorRT while remaining in PyTorch
Not published by PyPI - torchcam
Class activation maps (Grad-CAM, Score-CAM, LeGrad and more) for PyTorch CNNs and Vision Transformers
Not published by PyPI - torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Not published by PyPI - torchcfm
Conditional Flow Matching for Fast Continuous Normalizing Flow Training.
Not published by PyPI - torchcrepe
Pytorch implementation of CREPE pitch tracker
Not published by PyPI - torchdata
Composable data loading modules for PyTorch
Not published by PyPI - torchdiffeq
ODE solvers and adjoint sensitivity analysis in PyTorch.
Not published by PyPI - torchdistill
A Modular, Configuration-Driven Framework for Knowledge Distillation. Trained models, training logs and configurations are available for ensuring the reproducibility.
Not published by PyPI
Latest news the 3 latest events that mention it
- 21h agoOCT 24, 2026
- 2d agoOCT 22, 2026
- 4mo agoJUL 10, 2026