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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
- raminmh/CfC
Closed-form Continuous-time Neural Networks
1.1K stars
- limbo018/DREAMPlace
Deep learning toolkit-enabled VLSI placement
1.1K stars
- pytorch/benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
1.1K stars
- 4uiiurz1/pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
1.1K stars
- huggingface/optimum-quanto
A pytorch quantization backend for optimum
1.1K stars
- qqlu/Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
1K stars
- caoscott/SReC
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
1K stars
- pkhungurn/talking-head-anime-3-demo
Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project
1K stars
- Shawn1993/cnn-text-classification-pytorch
CNNs for Sentence Classification in PyTorch
1K stars
- volcengine/veScale
Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs
1K stars
- descriptinc/melgan-neurips
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
1K stars
- TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
1K 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
- timm-eidl
PyTorch Image Models
Not published by PyPI - tinker-cookbook
Implementations of post-training algorithms using the Tinker API
Not published by PyPI - titans-pytorch
Titans
Not published by PyPI - tmol
GPU-accelerated PyTorch reimplementation of the Rosetta energy function
Not published by PyPI - token2wav-cosyvoice-stepaudio2
StepAudio2: Audio tokenizer and TTS model
Not published by PyPI - tokenspeed
TokenSpeed is a speed-of-light LLM inference engine.
Not published by PyPI - tokenspeed-cutedsl-kda
AOT CuteDSL KDA prefill kernels for TokenSpeed
Not published by PyPI - tokenspeed-fa4
Flash Attention CUTE (CUDA Template Engine) implementation
Not published by PyPI - tokenspeed-kernel-amd
TokenSpeed AMD-specific high-performance kernels.
Not published by PyPI - tokenspeed-mla
Speed-of-light TokenSpeed MLA kernels.
Not published by PyPI - tomesd
Token Merging for Stable Diffusion
Not published by PyPI - toolformer-pytorch
Toolformer - Pytorch
Not published by PyPI
Latest news the 3 latest events that mention it
- 17h agoOCT 24, 2026
- 2d agoOCT 22, 2026
- 4mo agoJUL 10, 2026