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1–17 of 17 · Most stars

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

A lightweight high performance tensor algebra framework for modern C++

  • tensors
  • tensor-contraction
  • multidimensional-arrays
  • simd

Mir (backports): Sparse tensors, Hoffman

  • mir
  • glas
  • blas
  • mir-glas

Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.

  • character-animation
  • crowd-simulation
  • motion-generation
  • motionbricks