Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
47,133 repositories indexed
1–10 of 10 · Most stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A C++ standalone library for machine learning
The V Tensor Library
Scientific computing in pure Crystal
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A platform independent tensor library with autograd for the JVM
A neural network framework (with autograd!) for object pascal 🧠
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
Autograd and GPGPU library for dynamic neural networks in D