rustorch 0.6.29

Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
Documentation 
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name: rustorch-binder
channels:
  - conda-forge
  - defaults
dependencies:
  - python>=3.9
  - pip
  - jupyter
  - jupyterlab
  - matplotlib
  - pandas
  - numpy
  - rust
  - pkg-config
  - cmake
  - build-essential
  - git
  - pip:
    - maturin
    - ipywidgets