Autodiff
Showing 9 of 9 projects
A Rust-based deep learning framework and tensor library optimized for flexibility, efficiency, and cross-platform portability.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.
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 C++ automatic differentiation library for large-scale, performance-critical systems.
A high-performance C++ automatic differentiation library for large-scale, performance-critical systems.
A production-ready deep learning framework for Go that enables training and deploying neural networks as single binaries with a PyTorch-like API.
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