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22 search results found

Darkflow ⭐ 6,131

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

The Tensor Algebra SuperOptimizer for Deep Learning

Hello_tf_c_api ⭐ 436

Neural Network TensorFlow C API

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Pruning_filters_for_efficient_convnets ⭐ 121

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Graph2vec_tf ⭐ 107

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

Graffitist ⭐ 99

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow.

Randwirenn ⭐ 69

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

A platform independent tensor library with autograd for the JVM

Graphattack ⭐ 45

Computational graph library for machine learning

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Domain Adaptation using External Knowledge for Sentiment Analysis

Collective Knowledge web extension to browse CK repositories, visualize interactive graphs and articles, render CK-based websites, implement simple web services with JSON API (for example to crowdsource experiments or unify access to DNN). Demos of interactive articles, graphs and crowdsourced experiments:

Machine Learning Research Papers ⭐ 22

Collection of machine learning research paper references

Subgraph2vec_tf ⭐ 21

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

GEDFN: Graph-Embedded Deep Feedforward Network

G3: A Programmable GNN Training System on GPU

Shortest Path prediction using Graph Convolutional Networks

Recurrent Js ⭐ 14

[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Tensorflowexercise ⭐ 9

Deepgraph ⭐ 8

A demo code for GR-DNN

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-l

A simple Java AI library for personal use.

Python implementation of DNGR model (Deep Neural Networks for Graph Representations)

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