Pinned Repositories
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
FGSD
Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
Graph-Capsule-CNN-Networks
Graph Capsule Convolutional Neural Networks
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
Pytorch-JIT-Recurrent-Highway-Network
A fast and clean implementation of Recurrent Highway Network in Pytorch JIT
tensorflow
Computation using data flow graphs for scalable machine learning
Universal-Graph-Embedding-Neural-Network
Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
vermaMachineLearning's Repositories
vermaMachineLearning/keras-deep-graph-learning
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
vermaMachineLearning/Universal-Graph-Embedding-Neural-Network
Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
vermaMachineLearning/Graph-Capsule-CNN-Networks
Graph Capsule Convolutional Neural Networks
vermaMachineLearning/FGSD
Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
vermaMachineLearning/Pytorch-JIT-Recurrent-Highway-Network
A fast and clean implementation of Recurrent Highway Network in Pytorch JIT
vermaMachineLearning/Bayesian-Sets
Bayesian Sets (NIPS 2006).
vermaMachineLearning/tensorflow
Computation using data flow graphs for scalable machine learning
vermaMachineLearning/Coupled-Bayesian-Sets
Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction (ECML-PKDD 2012).
vermaMachineLearning/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
vermaMachineLearning/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
vermaMachineLearning/Machine-Learning-on-Symmetric-Groups
This is python library for performing machine learning and harmonic analysis on the symmetric group.
vermaMachineLearning/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
vermaMachineLearning/vermaMachineLearning.github.io
A Machine Learning Blog
vermaMachineLearning/diffpool
vermaMachineLearning/DRS-ADAM-Software-Simulation
Stopping Amplified DNS DDoS Attacks Through Distributed Query Rate Sharing (ARES 2016).
vermaMachineLearning/dugnn
vermaMachineLearning/gated-graph-neural-network-samples
Sample Code for Gated Graph Neural Networks
vermaMachineLearning/graph-partition-neural-network-samples
Sample Code for Graph Partition Neural Networks
vermaMachineLearning/graph_nets
Build Graph Nets in Tensorflow
vermaMachineLearning/keras-docs-zh
Chinese (zh-cn) translation of the Keras docs.
vermaMachineLearning/MarkdownEditing
Powerful Markdown package for Sublime Text with better syntax understanding and good color schemes.
vermaMachineLearning/pymanopt
Python toolbox for optimization on manifolds with support for automatic differentiation
vermaMachineLearning/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
vermaMachineLearning/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model with script to load Google's pre-trained models
vermaMachineLearning/pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
vermaMachineLearning/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
vermaMachineLearning/pytorch_structure2vec
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
vermaMachineLearning/tsalib
Tensor Shape (Annotation) Library