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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
- jiesutd/NCRFpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
1.9K stars
- uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
1.9K stars
- jsksxs360/How-to-use-Transformers
Transformers 库快速入门教程
1.9K stars
- NVlabs/curobo
CUDA Accelerated Robot Library
1.9K stars
- nitrain/nitrain
Train AI models efficiently on medical images using any framework
1.9K stars
- we0091234/Chinese_license_plate_detection_recognition
yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
1.9K stars
- nndeploy/nndeploy
一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework
1.9K stars
- open-mmlab/mmaction
An open-source toolbox for action understanding based on PyTorch
1.9K stars
- Sierkinhane/CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition.
1.9K stars
- descriptinc/descript-audio-codec
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
1.9K stars
- waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
1.9K stars
- WASasquatch/was-node-suite-comfyui
WAS-NS Reborn; Tools for image processing, filters, masking, text, logic, numbers, latents, files, 3D scenes, and animation.
1.9K 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
- vsa
Video Sparse Attention Kernel Used in FastVideo
Not published by PyPI - wan22
Wan: Open and Advanced Large-Scale Video Generative Models
Not published by PyPI - wespeaker-unofficial
WeSpeaker (unofficial build): A Research and Production Oriented Speaker Embedding Learning Toolkit
Not published by PyPI - wfgy-sdk
WFGY 1.0 • Self-Healing LLM Framework SDK
Not published by PyPI - whisl
Real-time speech-to-text with speaker diarization using Whisper
Not published by PyPI - whisper-applemps
Robust Speech Recognition via Large-Scale Weak Supervision
Not published by PyPI - whisper-live
A nearly-live implementation of OpenAI's Whisper.
Not published by PyPI - whisper-s2t-reborn
A streamlined Speech-to-Text pipeline for Whisper using CTranslate2
Not published by PyPI - whisperl
Real-time speech-to-text with speaker diarization using Whisper
Not published by PyPI - whisperlivekit
Real-time speech-to-text models
Not published by PyPI - whisperx
Time-Accurate Automatic Speech Recognition using Whisper.
Not published by PyPI - whisperx-fix
Time-Accurate Automatic Speech Recognition using Whisper.
Not published by PyPI
Latest news the 3 latest events that mention it
- 35h agoOCT 24, 2026
- 3d agoOCT 22, 2026
- 4mo agoJUL 10, 2026