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bayesian-sets

Bayesian Sets (NIPS 2006).

coupled-bayesian-sets

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction (ECML-PKDD 2012).

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

diffpool

drs-adam-software-simulation

Stopping Amplified DNS DDoS Attacks Through Distributed Query Rate Sharing (ARES 2016).

dugnn

fgsd

Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

graph-capsule-cnn-networks

Graph Capsule Convolutional Neural Networks

graph-partition-neural-network-samples

Sample Code for Graph Partition Neural Networks

graph_nets

Build Graph Nets in Tensorflow

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

keras-docs-zh

Chinese (zh-cn) translation of the Keras docs.

machine-learning-on-symmetric-groups

This is python library for performing machine learning and harmonic analysis on the symmetric group.

markdownediting

Powerful Markdown package for Sublime Text with better syntax understanding and good color schemes.

pymanopt

Python toolbox for optimization on manifolds with support for automatic differentiation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-jit-recurrent-highway-network

A fast and clean implementation of Recurrent Highway Network in Pytorch JIT

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

tensorflow

Computation using data flow graphs for scalable machine learning

tsalib

Tensor Shape (Annotation) Library

universal-graph-embedding-neural-network

Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

vermamachinelearning.github.io

A Machine Learning Blog