85 Open source projects that are alternatives of or similar to Xtensor Python

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

OCaml bindings for PyTorch

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

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

An implementation of Fibonacci Anyons in Haskell

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

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

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

LibRec: A Leading Java Library for Recommender Systems, see

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

The Egison Programming Language

A Julia package for n-dimensional sparse tensors.

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

ATen: A TENsor library for C++11

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

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。

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

DiffSharp: Differentiable Functional Programming

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

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

Read and write Neuroglancer datasets programmatically.

Blitz++ Multi-Dimensional Array Library for C++

High-Performance Tensor Transpose library

Open, Modular, Deep Learning Accelerator

Guile numerical arrays and tensor extension

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

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Scientific computing with N-dimensional arrays

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

Deep.Net machine learning framework for F#

NumPy & SciPy for GPU

Julia package for tensor contractions and related operations

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

A Python module for compiling PyTorch graphs to C

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

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

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

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》)

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.

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

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

MATLAB Tensor Tools

Tensors and differentiable operations (like TensorFlow) in Rust

My personal reference for Tensorflow

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

N-dimensional matrix class for Rust

Tensors in Haskell

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

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

TensorLy: Tensor Learning in Python.

eXpression differentiation in Julia

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

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

Experimental tensor-typed deep learning

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A library for doing homomorphic encryption operations on tensors

A C++ Cuda Tensor Lazy Computing Library

Image recognition and classification using Convolutional Neural Networks with TensorFlow