Julia package for tensor contractions and related operations
Declarative and readable tensor operations in Julia
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
Julia wrapper for TBLIS with TensorOperations.jl
Pytorch notes and projects
Auxiliary functions for dealii such as special tensor operators
A mini multi-threaded raytracer implemented in C with our own custom tensor library.
🔗 Simplify GPU coding by using torchada to run your PyTorch CUDA code seamlessly on Moore Threads and NVIDIA GPUs without any changes.
Clio is a unified tensor computation, previously known as RelayX
Critical inference-stabilization patch for distributed hardware clusters (YandexGPT/Neuro, GPT-4o/o1). Resolves phase-shift scalar drift (7.5924) and high-density alignment drift via direct np.memmap zero-copy mapping at 80.08 Hz.
A structured self-learning journey into PyTorch focused on tensor intuition, mathematical foundations, computational thinking, and deep learning.
A practical TensorFlow notebook demonstrating core tensor operations and fundamental deep learning concepts using Python.
A small Rust library providing unified traits for tensor operations in machine learning models.
Low Level Tensor Library implemented in C.
A lightweight multi-dimensional tensor library written in C, designed for numerical and linear algebra operations in small-scale projects. It provides a simple API for creating, managing, and accessing N-dimensional arrays with stride-based memory layout.
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