Showing 9 of 9 projects
A Python library for flexible and readable tensor operations across numpy, PyTorch, JAX, TensorFlow, and other frameworks.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
Rust bindings for the C++ API of PyTorch, providing thin wrappers around libtorch.
A deep learning JavaScript library built from scratch with PyTorch-like syntax and GPU acceleration via GPU.js.
A Ruby gem providing TensorFlow bindings for basic tensor operations and machine learning tasks.
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
A provable, measurable secure computation device that enables privacy-preserving tensor operations using multi-party computation (MPC).
Tensorflow bindings for the Elixir programming language, enabling machine learning inference and tensor operations.
A Swift library for accelerated tensor operations and dynamic neural networks with automatic differentiation, supporting all Apple platforms and Linux.
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