Showing 5 of 5 projects
A Go library providing efficient implementations of fundamental graph algorithms and data structures.
A Python library for constructing reactive dataflow graphs and streaming computations as data models.
A minimal pure Python implementation of reverse-mode automatic differentiation (autograd) for educational purposes.
A graphical computation package for Torch that enables graph-based operations and visualization.
A lightweight automatic differentiation library with PyTorch-like API and NumPy compatibility for reverse-mode gradient computation.
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