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grx-tensor

v0.1.0RubyGems· Ruby

GRX brings PyTorch-style tensor operations to Ruby. Every arithmetic op, activation, and optimizer step runs through a native C library compiled with AVX2+FMA SIMD. Ruby is the interface — C does the work. Features: autograd, SGD/Adam optimizers, Linear/Sequential/Dropout/BatchNorm layers, MSE/BCE/CrossEntropy loss functions, Xavier and He weight init. Cross-platform: .so on Linux, .dylib on macOS, .dll on Windows.

The verdict
Maintained. Niche but maintained, actively maintained.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceHealthy
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published this month.
Popularity
60 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.1.0this month
grx-tensor — GRX brings PyTorch-style tensor operations to Ruby. Every arithmetic op, activation, and optimizer step runs through a native C library compiled with AVX2+FMA SIMD. Ruby is the interface — C does the work. Features: autograd, SGD/Adam optimizers, Linear/Sequential/Dropout/BatchNorm layers, MSE/BCE/CrossEntropy loss functions, Xavier and He weight init. Cross-platform: .so on Linux, .dylib on macOS, .dll on Windows. (Ruby / RubyGems) · Modules