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Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Weekly reading group on Graphs at Mila
Source code for all models from our IJCAI 2018 Paper "Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for Knowledge Base Inference"
Tools for state of the art Knowledge Base Completion.
Models, data loaders and abstractions for language processing, powered by PyTorch
Hierarchical Models for Sentiment Analysis in Pytorch
Pytorch implementation of Hierarchical Encoder Decoder Sequence to Sequence Model
Meandering In Networks of Entities to Reach Verisimilar Answers
Python library to compute knowledge graph embeddings
An efficient and flexible token-based regular expression language and engine.


