Showing 6 of 6 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.
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