NexusExperimental tensor-typed deep learning
EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
Tensorpackage tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
NorseDeep learning with spiking neural networks (SNNs) in PyTorch.
TensealA library for doing homomorphic encryption operations on tensors
LaserThe 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
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
TinytpuImplementation of a Tensor Processing Unit for embedded systems and the IoT.
HpttHigh-Performance Tensor Transpose library
L2l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
MtensorA C++ Cuda Tensor Lazy Computing Library
PytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
DeepnetDeep.Net machine learning framework for F#
Pytorch WrapperProvides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
Pytorch2cA Python module for compiling PyTorch graphs to C
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Pytorch BookPyTorch 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》)
NxMulti-dimensional arrays (tensors) and numerical definitions for Elixir
Cloud VolumeRead and write Neuroglancer datasets programmatically.
NumericN-dimensional matrix class for Rust
QtorchqTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
TensorlyTensorLy: Tensor Learning in Python.
AiscmGuile numerical arrays and tensor extension
DrlkitA High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
TacoThe Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
EgisonThe Egison Programming Language
TvmOpen deep learning compiler stack for cpu, gpu and specialized accelerators
ArraymancerA 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
LrslibraryLow-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
AtenATen: A TENsor library for C++11
CupyNumPy & SciPy for GPU
LibxsmmLibrary for specialized dense and sparse matrix operations, and deep learning primitives.
AutokernelAutoKernel 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。
Opt einsum⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
DlpackRFC for common in-memory tensor structure and operator interface for deep learning system
DiffsharpDiffSharp: Differentiable Functional Programming
NiutensorNiuTensor 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.
Grassmann.jl⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex
Rust AutogradTensors and differentiable operations (like TensorFlow) in Rust
LibrecLibRec: A Leading Java Library for Recommender Systems, see
Deepcvendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers
BlitzBlitz++ Multi-Dimensional Array Library for C++
MegengineMegEngine 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
fib-anyonAn implementation of Fibonacci Anyons in Haskell
galileoScala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool
tvm-vtaOpen, Modular, Deep Learning Accelerator
XDiff.jleXpression differentiation in Julia
NDTensors.jlA Julia package for n-dimensional sparse tensors.