annamalai-nr

ABSA

clustering_aspect_detection

cnn-graph-classification

csbd

The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios"

drebin

Drebin - NDSS 2014 Re-implementation

globalwl

Implementation of the local and global k-dimensional Weifeiler-Lehman graph kernel, and related graph kernels.

graph2vec_tf

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

quora_duplicate_challenge

subgraph2vec_gensim

Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

subgraph2vec_tf

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

annamalai-nr/graph2vec_tf

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

annamalai-nr/drebin

Drebin - NDSS 2014 Re-implementation

annamalai-nr/subgraph2vec_gensim

Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

annamalai-nr/subgraph2vec_tf

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

annamalai-nr/csbd

The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios"

annamalai-nr/quora_duplicate_challenge

annamalai-nr/cnn-graph-classification

annamalai-nr/seq_classification_bert

annamalai-nr/word2vec_pytorch

annamalai-nr/clustering_aspect_detection

annamalai-nr/deep-code-search

Deep Code Search

annamalai-nr/DGCNN

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

annamalai-nr/graph2vec-1

A distributed implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

annamalai-nr/hashembedding

Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"

annamalai-nr/marianmt_translation

annamalai-nr/models

Models built with TensorFlow

annamalai-nr/multilingual_toxic_comment_classification

annamalai-nr/NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

annamalai-nr/node2vec

annamalai-nr/pl_seq_classify

annamalai-nr/PyTorch-Mini-Tutorials

Minimal tutorials for PyTorch

annamalai-nr/PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

annamalai-nr/qqp

annamalai-nr/similarity_learning

annamalai-nr/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

annamalai-nr/text_classification

all kinds of text classificaiton models and more with deep learning

annamalai-nr/text_classification_pt

annamalai-nr/toxic_comment_classification

annamalai-nr/west_nile_virus_kaggle_challenge

annamalai-nr/xsts