An algorithm that implements intelligence based on a Method pool (a collection containing multiple types of functions). 一种基于方法池(包含多种类型的函数的集合)实现智能的算法
FBP (flow based programming) inspired framework
Realization of computational graph as multilist in C with neural network implementation.
A rust implementation of Andrej Karpathy's Micrograd
Lightweight performat Python 3.12+ automatic differentiation system that leverages PyTorch’s computational graph to compute arbitrary-order partial derivatives.
A process-based computational graph framework in C# for OSINT
A Pure Python Deep Learning Framework with Automatic Differentiation and PyTorch-like API
This code uses computational graph and neural network to solve the five-layer traffic demand estimation in Sioux Falls network. It also includes comparison of models and 10 cross-validations.
vanilla, simple, node-oriented, compositive, optimized, frameworkn't{torchn't, TFn't, candlen't}
🎢 IaaS visual editor to create & deploy data processing pipelines - python, rmq, react, meteorjs
The implementation of automatic differentiation based on NumPy
Understanding of Deep Learning Training Framework
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