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Count the MACs / FLOPs of your PyTorch model.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Pip-installable differentiable stacks in PyTorch!
A list of recent papers regarding knowledge-based machine reading comprehension.
Materials from the ACL 2018 tutorial on neural semantic parsing
Generate embeddings from large-scale graph-structured data.
Java library to interact with Wikibase
Graph Neural Network Library for PyTorch
Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf
Entrypoint for all backend cape webservices
MagicMirror² is an open source modular smart mirror platform. With a growing list of installable modules, the MagicMirror² allows you to convert your hallway or bathroom mirror into your personal a…
A library for efficient similarity search and clustering of dense vectors.
This repository stores slides for a tutorial on variational inference for NLP audiences.
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
read and edit a Wikibase instance from the command line
Simple, elegant, Pythonic functional programming.
Bayesian Modeling and Probabilistic Programming in Python
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
Sequence modeling benchmarks and temporal convolutional networks
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch