Creating and analyzing interaction graphs based on boolean functions
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Updated
Apr 13, 2016 - Java
Creating and analyzing interaction graphs based on boolean functions
Implementing Multiple Layer Neural Network from Scratch
Code for projects and homework from ECE-491: Computational Graphs for Machine Learning (aka Deep Learning/Neural Nets)
(Spring 2017) Assignment 2: GPU Executor
Assignment 1: automatic differentiation
a single c++ file for learing how data flow graphs work.
Computational graph library for machine learning
C computation graph, AutoGrad with OpenCL support [WIP]
DAG-based computation graph for streaming data
Computation graphs, automatic differentiation and machine learning for Kotlin
These are my computer graphics projects.
A computation graph micro-framework providing seamless lazy and concurrent evaluation
Model-based Policy Gradients
Projeto de TCC baseado em processamento de imagens e visão computacional para identificar a evolução de ogras da engenharia civil
This repository contains the code that produces the numeric section in On the Use of TensorFlow Computation Graphs in combination with Distributed Optimization to Solve Large-Scale Convex Problems
Automatic derivative calculation of scalar functions.
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