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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
- ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
10.2K stars
- OpenMined/PySyft
Perform data science on data that remains in someone else's server
10K stars
- espnet/espnet
End-to-End Speech Processing Toolkit
10K stars
- open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
10K stars
- jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
9.8K stars
- arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
9.6K stars
- xorbitsai/inference
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
9.6K stars
- BlinkDL/ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
9.5K stars
- replicate/cog
Containers for machine learning
9.5K stars
- QwenAudio/SenseVoice
Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.
9.4K stars
- oumi-ai/oumi
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
9.4K stars
- voicepaw/so-vits-svc-fork
so-vits-svc fork with realtime support, improved interface and more features.
9.3K 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
- alphafold3-pytorch
Alphafold 3 - Pytorch
Not published by PyPI - anarcii
A language model suite for numbering antigen receptor sequences.
Not published by PyPI - angelslim
A toolkit for compress llm model.
Not published by PyPI - angelslim-fork
A toolkit for compress llm model.
Not published by PyPI - aqlm
Efficiently run models quantized with AQLM
Not published by PyPI - areal
AReaL: A Large-Scale Asynchronous Reinforcement Learning System
Not published by PyPI - arm-pytorch-utilities
Utilities for working with pytorch
Not published by PyPI - asteroid
PyTorch-based audio source separation toolkit
Not published by PyPI - asteroid-filterbanks
Asteroid's filterbanks
Not published by PyPI - audio-separator
Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
Not published by PyPI - audiolm-pytorch
AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch
Not published by PyPI - audioseal
Watermarking and detection for speech audios
Not published by PyPI
Latest news the 3 latest events that mention it
- 13h agoOCT 24, 2026
- 48h agoOCT 22, 2026
- 4mo agoJUL 10, 2026