Technology · Framework
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
- CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
5.1K stars
- tencentmusic/cube-studio
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
5.1K stars
- sktime/pytorch-forecasting
Time series forecasting with PyTorch
5K stars
- yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
5K stars
- yanshengjia/ml-road
Machine Learning and Agentic AI Resources, Practice and Research
4.9K stars
- KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
4.9K stars
- thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
4.9K stars
- NVIDIA-AI-IOT/torch2trt
An easy to use PyTorch to TensorRT converter
4.9K stars
- dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
4.9K stars
- deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
4.9K stars
- pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
4.8K stars
- weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
4.8K 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
- boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Not published by PyPI - braindecode
Deep learning software to decode EEG, ECG or MEG signals
Not published by PyPI - brevitas
Quantization-aware training in PyTorch
Not published by PyPI - browsergym-visualwebarena
VisualWebArena benchmark for BrowserGym
Not published by PyPI - cache-dit
Cache-DiT: A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs.
Not published by PyPI - cache-dit-cu13
Cache-DiT: A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs.
Not published by PyPI - cactus-compute-test
On-device AI inference — LLM, vision, speech, embeddings, and RAG
Not published by PyPI - captum
Model Interpretability for PyTorch
Not published by PyPI - causal-conv1d
Causal depthwise conv1d in CUDA, with a PyTorch interface
Not published by PyPI - cdts
Change Detection and Time Series for Python (CDTS) - LandTrendr and CCDC tools for Python
Not published by PyPI - cebra
Consistent Embeddings of high-dimensional Recordings using Auxiliary variables
Not published by PyPI - cellpose
anatomical segmentation algorithm
Not published by PyPI
Latest news the 3 latest events that mention it
- 22h agoOCT 24, 2026
- 2d agoOCT 22, 2026
- 4mo agoJUL 10, 2026