Tensor Library
Showing 8 of 8 projects
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A low-level tensor library for machine learning with integer quantization, automatic differentiation, and zero runtime allocations.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
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.
A high-performance tensor library for the V programming language, providing n-dimensional data structures and linear algebra operations.
A lightweight, platform-independent tensor library with autograd for the JVM, accelerated by OpenCL.
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