Saurabh Verma

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

Universal-Graph-Embedding-Neural-Network. Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

Graph-Capsule-CNN-Networks. Graph Capsule Convolutional Neural Networks

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

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

Bayesian-Sets. Bayesian Sets (NIPS 2006).

tensorflow. Computation using data flow graphs for scalable machine learning

pytorch_geometric. Geometric Deep Learning Extension Library for PyTorch

Machine-Learning-on-Symmetric-Groups. This is python library for performing machine learning and harmonic analysis on the symmetric group.

decaNLP. The Natural Language Decathlon: A Multitask Challenge for NLP

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

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

vermaMachineLearning.github.io. A Machine Learning Blog