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PyTorch
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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
- szagoruyko/attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
1.5K stars
- buppt/ChineseNER
中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF
1.5K stars
- devnen/Chatterbox-TTS-Server
Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.
1.5K stars
- MLReef/mlreef
The collaboration workspace for Machine Learning
1.5K stars
- pytorch/gloo
Collective communications library with various primitives for multi-machine training.
1.5K stars
- nerfstudio-project/nerfacc
A General NeRF Acceleration Toolbox in PyTorch.
1.5K stars
- microsoft/NeuronBlocks
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
1.5K stars
- zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
1.5K stars
- dmmiller612/bert-extractive-summarizer
Easy to use extractive text summarization with BERT
1.5K stars
- dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
1.5K stars
- nod-ai/AMD-SHARK-Studio
AMD-SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
1.5K stars
- BachiLi/redner
Differentiable rendering without approximation.
1.4K 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
- pykeen
A package for training and evaluating multimodal knowledge graph embeddings
Not published by PyPI - pypose
A library for differentiable robotics on manifolds.
Not published by PyPI - pypots
A Python Toolbox for Machine Learning on Partially-Observed Time Series
Not published by PyPI - pyreft
REFT: Representation Finetuning for Language Models
Not published by PyPI - pyro-ppl
A Python library for probabilistic modeling and inference
Not published by PyPI - pyserini
A Python toolkit for reproducible information retrieval research with sparse and dense representations
Not published by PyPI - pyserini-install
A Python toolkit for reproducible information retrieval research with sparse and dense representations
Not published by PyPI - pytabkit
ML models + benchmark for tabular data classification and regression
Not published by PyPI - python-doctr
Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.
Not published by PyPI - pytorch-fid
Package for calculating Frechet Inception Distance (FID) using PyTorch
Not published by PyPI - pytorch-forecasting
Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models
Not published by PyPI - pytorch-frame
Tabular Deep Learning Library for PyTorch
Not published by PyPI
Latest news the 3 latest events that mention it
- 42h agoOCT 24, 2026
- 3d agoOCT 22, 2026
- 4mo agoJUL 10, 2026