Deep learning in Rust, with shape checked tensors and neural networks
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Updated
Mar 2, 2024 - Rust
Deep learning in Rust, with shape checked tensors and neural networks
Tensors and differentiable operations (like TensorFlow) in Rust
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
A neural network, and tensor dynamic automatic differentiation implementation for Rust.
Deep Learning Framework Written in Rust
(WIP) Simple Deep Learning Framework and Auto Differentiation Engine in Rust
Automatic differentiation for tensor operations
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
RUNE: RUsty Neural Engine
A minimal autograd implementation in rust
Define-by-run arbitrary higher order autodiff for scalars in Rust. Deferred: tensor calculus implementation.
Automatic differentiation in Rust for educational purposes. Autograd / tinygrad / micrograd / gradients.
A toy neural networks library with zero* dependencies
A tiny autograd engine for learning purposes in Rust
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