Tensor library for machine learning
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Updated
Jun 13, 2024 - C
Tensor library for machine learning
A field-theory motivated approach to computer algebra.
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
TensorLy: Tensor Learning in Python.
Tangent bundle, vector space and Submanifold definition
Tensor algebra abstract type interoperability setup
An automatic differentiation library written in C++ and CUDA
TensorFields with product topology using Grassmann element parameters
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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