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#

computation-graph

Here are 40 public repositories matching this topic...

gorgoniaspago

Assignment 1: automatic differentiation

  • UpdatedJul 2, 2019
  • Python

Implementing Multiple Layer Neural Network from Scratch

  • UpdatedApr 14, 2016
  • Python

(Spring 2017) Assignment 2: GPU Executor

  • UpdatedApr 27, 2017
  • Python

Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]

  • UpdatedSep 13, 2021
  • C++
tensorsem

Structural Equation Modeling using Torch

  • UpdatedAug 21, 2023
  • R

Build, distribute, and execute task graphs

  • UpdatedJan 22, 2021
  • Julia

Computational graph library for machine learning

  • UpdatedMar 2, 2018
  • Python

Jaxpr Visualisation Tool

  • UpdatedDec 22, 2024
  • Python
  • UpdatedDec 30, 2024
  • Python

Efficient in-memory representation for ONNX, in Python

  • UpdatedJul 14, 2025
  • Python

GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)

  • UpdatedJul 19, 2023
  • Python

A computation graph micro-framework providing seamless lazy and concurrent evaluation

  • UpdatedFeb 14, 2020
  • Python

A short collection of Jupyter notebooks explaining some basic computational math

  • UpdatedMar 4, 2023
  • Jupyter Notebook

artifax is a Python package to evaluate nodes in a computation graph where the dependencies associated with each node are extracted directly from their function signatures.

  • UpdatedNov 11, 2023
  • Python

C computation graph, AutoGrad with OpenCL support [WIP]

  • UpdatedFeb 26, 2019
  • C

Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modeling and control of Dynamical Systems

  • UpdatedFeb 5, 2023
  • Python

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