Tensor library for machine learning
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Updated
Jul 13, 2024 - C++
Tensor library for machine learning
TensorLy: Tensor Learning in Python.
A field-theory motivated approach to computer algebra.
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Maurer-Cartan-Lie frame connections ∇ Grassmann.jl TensorField derivations
Tensor algebra abstract type interoperability setup
Tangent bundle, vector space and Submanifold definition
An automatic differentiation library written in C++ and CUDA
Tensor algebra utility library
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Manipulate tensors symbolically in Julia! Currently needs a SymPy dependency, but work is ongoing to change the backend to SymbolicUtils.jl
Tensor algebra library in a single header file in C11 for graphics programming, machine and deep learning and physics.
This is regarding algebra in Machine Learning. TensorFlow, PyTorch and numpy will be utilized mostly.
A polyhedral compiler for expressing fast and portable data parallel algorithms
[WIP] a tiny inference only tensor library.
Software implementation for tensor-tensor m-product
Massively parallel electronic structure code for experimentation
Here you can get some exercises and explanations about tensor algebra por digital signal processing.
📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
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