86 Open source projects that are alternatives of or similar to BTAS

Automatic Differentiation for Tensor Algebras

Deep.Net machine learning framework for F#

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

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

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

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

NumPy & SciPy for GPU

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

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》)

OCaml bindings for PyTorch

LibRec: A Leading Java Library for Recommender Systems, see

TensorLy: Tensor Learning in Python.

My personal reference for Tensorflow

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

Julia package for tensor contractions and related operations

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Python bindings for xtensor

DiffSharp: Differentiable Functional Programming

A Python module for compiling PyTorch graphs to C

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

Scientific computing with N-dimensional arrays

MATLAB Tensor Tools

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

Tensors in Haskell

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

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

Guile numerical arrays and tensor extension

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Image recognition and classification using Convolutional Neural Networks with TensorFlow

High-Performance Tensor Transpose library

The Egison Programming Language

Owl's OCaml Interface to Eigen3 C++ Library

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 C++ Cuda Tensor Lazy Computing Library

ATen: A TENsor library for C++11

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

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

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

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。

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

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

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

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.

A library for doing homomorphic encryption operations on tensors

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

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

Experimental tensor-typed deep learning

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

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

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

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

An implementation of Fibonacci Anyons in Haskell

Read and write Neuroglancer datasets programmatically.

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

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

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

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