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junaraki's Projects

annobase icon annobase

Annobase is a tool that provides light-weight but comprehensive representations for text annotation.

camr icon camr

Transition-based tree-to-graph AMR Parser

deep-siamese-text-similarity icon deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

english-words icon english-words

:memo: A text file containing 479k English words for fast search auto-completion / autosuggestion.

generative-models icon generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

kb2e icon kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

libtree icon libtree

Libtree is a general-purpose tree library implemented in Java to provide various tree data structures and data operations for them.

qgstec2010 icon qgstec2010

Resources from the Question Generation Shared Task & Evaluation Challenge 2010

relation-autoencoder icon relation-autoencoder

this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"

richereventdescription icon richereventdescription

A living document with the guidelines for RED annotation, and any scripts useful for working with RED documents

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

text-summarizer-pytorch icon text-summarizer-pytorch

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

the-incredible-pytorch icon the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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