Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
Updated
Jul 16, 2024 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Open deep learning compiler stack for cpu, gpu and specialized accelerators
LibRec: A Leading Java Library for Recommender Systems, see
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
A list of awesome compiler projects and papers for tensor computation and deep learning.
TensorLy: Tensor Learning in Python.
On-device AI across mobile, embedded and edge for PyTorch
Análisis numérico y cómputo científico
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
Add a description, image, and links to the tensor topic page so that developers can more easily learn about it.
To associate your repository with the tensor topic, visit your repo's landing page and select "manage topics."