Tensor
Showing 12 of 12 projects
A Python package for tensor computation with GPU acceleration and dynamic neural networks built on a tape-based autograd system.
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A Python library for flexible and readable tensor operations across numpy, PyTorch, JAX, TensorFlow, and other frameworks.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
A deep learning library for Rust featuring shape-checked tensors and neural networks with compile-time safety.
A deep learning library in Rust featuring shape-checked tensors and neural networks with compile-time safety.
A tensor library for differentiable functional programming in F#, with PyTorch-like APIs and GPU support.
OCaml bindings for PyTorch, providing NumPy-like tensor computations with GPU acceleration and automatic differentiation.
A Swift library providing numpy-like multi-dimensional data structures and operations for numerical computing.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
A Swift library for accelerated tensor operations and dynamic neural networks with automatic differentiation, supporting all Apple platforms and Linux.
A learning-focused, high-performance tensor computation library built from scratch in Rust with automatic differentiation and CPU/CUDA backends.
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