Tensor Computation
Showing 9 of 9 projects
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A Ruby deep learning library powered by LibTorch, providing a PyTorch-like API for Ruby developers.
A deep learning library for Ruby that provides a native interface to LibTorch, enabling GPU-accelerated neural network development.
A fast Clojure library for tensor operations and deep learning with optimized CPU/GPU support.
A Clojure library for dynamic neural network graphs with pluggable tensor backends, inspired by PyTorch.
A neural network framework with automatic differentiation for building and training models in pure Object Pascal.
A learning-focused, high-performance tensor computation library built from scratch in Rust with automatic differentiation and CPU/CUDA backends.
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