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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
- dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
1.2K stars
- jakesnell/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
1.2K stars
- run-house/kubetorch
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
1.2K stars
- DmitryUlyanov/texture_nets
Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
1.2K stars
- NVIDIA/kvpress
LLM KV cache compression made easy
1.2K stars
- datawhalechina/torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
1.2K stars
- qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
1.2K stars
- maum-ai/voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
1.2K stars
- eduardoleao052/js-pytorch
A JavaScript library like PyTorch, with GPU acceleration.
1.2K stars
- yeyupiaoling/Whisper-Finetune
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment
1.2K stars
- awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
1.2K stars
- frotms/PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
1.2K 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
- retinaface-py
RetinaFace: Single-stage Dense Face Localisation in the Wild
Not published by PyPI - rfdetr
RF-DETR
Not published by PyPI - rl-games
High-performance Reinforcement Learning framework for games and robotics
Not published by PyPI - rlinf
Reinforcement Learning Infrastructure for Embodied and Agentic AI
Not published by PyPI - rlinf-openpi
Physical Intelligence open source repo
Not published by PyPI - roma
A lightweight library to deal with 3D rotations in PyTorch.
Not published by PyPI - romatch
Robust Dense Feature Matching
Not published by PyPI - rotary-embedding-torch
Rotary Embedding - Pytorch
Not published by PyPI - routellm
A framework for serving and evaluating large language model routers.
Not published by PyPI - rpent-openpi
Physical Intelligence open source repo
Not published by PyPI - rpent-rlinf
Reinforcement Learning Infrastructure for Embodied and Agentic AI
Not published by PyPI - rsl-rl-lib
Fast and simple RL algorithms implemented in PyTorch
Not published by PyPI
Latest news the 3 latest events that mention it
- 32h agoOCT 24, 2026
- 3d agoOCT 22, 2026
- 4mo agoJUL 10, 2026