Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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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
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Efficiently computes derivatives of NumPy code.
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Owl - OCaml Scientific Computing @ https://ocaml.xyz
Course management service that enables auto-graded programming assignments.
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
The V Tensor Library
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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
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Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
A Common Lisp port of @karpathy microgpt.py — the most atomicimplementation of a GPT with a hand-written scalar autograd engine.
Autograd and GPGPU library for dynamic neural networks in D