90 Open source projects that are alternatives of or similar to Xtensor.jl

TensorLy: Tensor Learning in Python.

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

My personal reference for Tensorflow

MATLAB Tensor Tools

DiffSharp: Differentiable Functional Programming

Scientific computing with N-dimensional arrays

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

Python bindings for xtensor

A list of awesome compiler projects and papers for tensor computation and deep learning.

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》)

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Deep learning with spiking neural networks (SNNs) in PyTorch.

N-dimensional matrix class for Rust

sugar for s3

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

NumPy & SciPy for GPU

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

OCaml bindings for PyTorch

Deep.Net machine learning framework for F#

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Tensors and differentiable operations (like TensorFlow) in Rust

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Multiprocessing queues for numpy arrays using shared memory

Read and write Neuroglancer datasets programmatically.

A library for doing homomorphic encryption operations on tensors

qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks

Basic Tensor Algebra Subroutines

Guile numerical arrays and tensor extension

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

Image recognition and classification using Convolutional Neural Networks with TensorFlow

Owl's OCaml Interface to Eigen3 C++ Library

The Egison Programming Language

Implementation of a Tensor Processing Unit for embedded systems and the IoT.

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

用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

ATen: A TENsor library for C++11

High-Performance Tensor Transpose library

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Experimental tensor-typed deep learning

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

A C++ Cuda Tensor Lazy Computing Library

RFC for common in-memory tensor structure and operator interface for deep learning system

Tentris is a tensor-based RDF triple store with SPARQL support.

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.

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

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Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

The only library allowing to create Tensors (matrices extension) with custom types

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Gisola: A High Performance Computing application for real-time Moment Tensor inversion

Julia package for tensor contractions and related operations

A Python module for compiling PyTorch graphs to C