There are 15 repositories under tensor topic.
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
NumPy & SciPy for GPU
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
LibRec: A Leading Java Library for Recommender Systems, see
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Waiting hours for a future prediction is unacceptable. Hyperlearn makes AI and ML algorithms 50% faster, use 90% less memory and doesn't require you to use new hardware! ML Algorithms like PCA, Linear Regression, NMF are all faster!
TensorLy: Tensor Learning in Python.
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
A list of awesome compiler projects and papers for tensor computation and deep learning.
The Egison Programming Language
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Library for specialized dense and sparse matrix operations, and deep learning primitives.
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
DiffSharp: Differentiable Functional Programming
A library for doing homomorphic encryption operations on tensors
Deep learning with spiking neural networks (SNNs) in PyTorch.
Tensors and differentiable operations (like TensorFlow) in Rust
⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex
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.
OCaml bindings for PyTorch
Blitz++ Multi-Dimensional Array Library for C++
Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
Python bindings for xtensor
Julia package for tensor contractions and related operations
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
Experimental tensor-typed deep learning