85 Open source projects that are alternatives of or similar to Mtt

Automatic Differentiation for Tensor Algebras

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

OCaml bindings for PyTorch

A Julia package for n-dimensional sparse tensors.

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

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

It slices, it dices, it splices!

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

Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences

LibRec: A Leading Java Library for Recommender Systems, see

Open, Modular, Deep Learning Accelerator

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

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。

Análisis numérico y cómputo científico

The Egison Programming Language

Deep Learning framework with NVIDIA & AMD support

DiffSharp: Differentiable Functional Programming

N-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types

Guile numerical arrays and tensor extension

Strongly typed multidimensional array library for OCaml

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

Julia package for xtensor-julia

ATen: A TENsor library for C++11

Basic Tensor Algebra Subroutines

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

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

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

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

eXpression differentiation in Julia

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

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

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

European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.

TensorLy: Tensor Learning in Python.

EVEREST: e-Versatile Research Stick for peoples

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

An open source ML system for the end-to-end data science lifecycle

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

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU 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.

Statically sized tensors and related operations for Julia

N-dimensional matrix class for Rust

Tensor Train Toolbox

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

A library and extension that provides objects for scientific computing in PHP.

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

Let DI-treetensor help you simplify the structure processing!（树形运算一不小心就逻辑混乱？DI-treetensor快速帮你搞定）

Tensors and differentiable operations (like TensorFlow) in Rust

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

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

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

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

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

NumPy & SciPy for GPU

Tensors in Haskell

Read and write Neuroglancer datasets programmatically.

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

Image recognition and classification using Convolutional Neural Networks with TensorFlow

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

An implementation of Fibonacci Anyons in Haskell