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Visualization toolkit for neural networks in PyTorch! Demo -->
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
Turi Create simplifies the development of custom machine learning models.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
TensorFlow implementation of A Fast and Accurate Dependency Parser using Neural Networks
✨Fast Coreference Resolution in spaCy with Neural Networks
Neural network models that predict "what happens next" in stories
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer…
This is the repository for Pepper modules and external services. Use Python 3
Transition-based dependency parser based on stack LSTMs
Lexicon of frame files used by Propbank annotation. A searchable, readable version of the latest release is here: http://propbank.github.io/v3.4.0/frames/
A toolkit for coreference resolution and error analysis.
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
Models and examples built with TensorFlow
A python wrapper for Semaphore, a Shallow Semantic Parser that identifies roles in a text.
Theano-based implementation of Deep Q-learning
Java Wiki Bot Framework is a library to maintain Wikis like Wikipedia based on MediaWiki.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…
Warning: This project does not have any current developer. See bellow.
Torch7: state-of-the-art machine learning algorithms
Demonstration of recurrent neural network implemented with Theano
Eclipse Mylyn connector for 37signals Basecamp [DISCONTINUED]