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

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

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

MATLAB Tensor Tools

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

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

A Python module for compiling PyTorch graphs to C

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

My personal reference for Tensorflow

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

TensorLy: Tensor Learning in Python.

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

TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch

Deep.Net machine learning framework for F#

NumPy & SciPy for GPU

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

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

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 with spiking neural networks (SNNs) in PyTorch.

Tensors and differentiable operations (like TensorFlow) in Rust

N-dimensional matrix class for Rust

Tensors in Haskell

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

eXpression differentiation in Julia

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

The Egison Programming Language

Análisis numérico y cómputo científico

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

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

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

ATen: A TENsor library for C++11

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

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

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

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

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.

DiffSharp: Differentiable Functional Programming

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

OCaml bindings for PyTorch

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

Read and write Neuroglancer datasets programmatically.

LibRec: A Leading Java Library for Recommender Systems, see

High-Performance Tensor Transpose library

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

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

An implementation of Fibonacci Anyons in Haskell

A library for doing homomorphic encryption operations on tensors

Open, Modular, Deep Learning Accelerator

Guile numerical arrays and tensor extension

A Julia package for n-dimensional sparse tensors.

A C++ Cuda Tensor Lazy Computing Library

Image recognition and classification using Convolutional Neural Networks with TensorFlow

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

Julia package for tensor contractions and related operations

Scientific computing with N-dimensional arrays

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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