Topics / #tensor

Tensor projects on GitHub

Tensor computation libraries forming the core of deep learning frameworks.

As of , the most-starred Tensor projects on GitHub are pytorch (104.8K stars), burn (16.1K stars) and ggml (15.5K stars). GitHub.Locker tracks 7 Tensor repositories with 184.4K stars combined. The fastest-growing on October 16 was pytorch, with +35 stars in a day.

7Projects
184.4KStars in total
+56Stars in a day
Browse in the catalog →github.com/topics/tensor ↗

Hot right now

Most stars gained in a day · Oct 16

+35

pytorch

pytorch/pytorch · ★ 104.8K

PyTorch is a Python package providing fast tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system, serving as both a NumPy-like GPU library and a flexible deep learning research platform.

+7

burn

tracel-ai/burn · ★ 16.1K

Burn is a Rust tensor library and deep learning framework for both training and inference, so the same code takes a model from prototype to production on everything from GPU clusters to the browser.

+5

ggml

ggml-org/ggml · ★ 15.5K

ggml is a plain C/C++ tensor library built for running machine learning models with minimal setup, no external dependencies, and support for CPU, GPU, NPU, and browser backends. It's the core engine that powers projects like llama.cpp.

+5

DeepGEMM

deepseek-ai/DeepGEMM · ★ 9K

DeepGEMM is a unified CUDA kernel library that provides high-performance tensor core GEMM operations (FP8, FP4, BF16), fused MoE kernels, and attention-indexer kernels used in large language models such as DeepSeek.

The all-time top

7 projects · by stars

  1. #1 · pytorch/pytorch

    pytorch

    PyTorch is a Python package providing fast tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system, serving as both a NumPy-like GPU library and a flexible deep learning research platform.

    104.8K
  2. #2 · tracel-ai/burn

    burn

    Burn is a Rust tensor library and deep learning framework for both training and inference, so the same code takes a model from prototype to production on everything from GPU clusters to the browser.

    16.1K
  3. #3 · ggml-org/ggml

    ggml

    ggml is a plain C/C++ tensor library built for running machine learning models with minimal setup, no external dependencies, and support for CPU, GPU, NPU, and browser backends. It's the core engine that powers projects like llama.cpp.

    15.5K
  1. 4

    tvm

    13.8Kapache/tvm · Python

    Apache TVM is an open machine learning compiler framework that turns trained models into optimized, deployable code for a wide range of hardware targets.

  2. 5

    pytorch-book

    12.8Kchenyuntc/pytorch-book · Jupyter Notebook

    This is the companion code repository for the Chinese book 'Deep Learning Framework PyTorch: Introduction and Practice', covering PyTorch basics and fun projects like neural talk, poem writing, anime face generation, and style transfer.

  3. 6

    cupy

    12.4Kcupy/cupy · Python

    CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python: you write ordinary Python array code, and it executes on NVIDIA or AMD GPUs.

  4. 7

    DeepGEMM

    9Kdeepseek-ai/DeepGEMM · Cuda

    DeepGEMM is a unified CUDA kernel library that provides high-performance tensor core GEMM operations (FP8, FP4, BF16), fused MoE kernels, and attention-indexer kernels used in large language models such as DeepSeek.

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