wedddy0707's Stars
pyenv/pyenv
Simple Python version management
optas/artemis
Learning to ground explanations of affect for visual art.
aistairc/rnng-pytorch
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
allenai/allennlp
An open-source NLP research library, built on PyTorch.
1ytic/pytorch-edit-distance
Levenshtein edit-distance on PyTorch and CUDA
wtsnjp/MioGatto
An annotation tool for grounding of formulae
octanove/shiba
Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.
texttheater/xlci
Cross-lingual CCG Induction
masashi-y/depccg
A* CCG Parser with a Supertag and Dependency Factored Model
jacobandreas/tre
Measuring compositionality in representation learning
WorksApplications/SudachiPy
Python version of Sudachi, a Japanese tokenizer.
WorksApplications/Sudachi
A Japanese Tokenizer for Business
Joshua-Ren/Neural_Iterated_Learning
Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).
ku-nlp/KWDLC
Kyoto University Web Document Leads Corpus
lil-lab/spf
Cornell Semantic Parsing Framework
facebookresearch/brica
Word-order biases in deep-agent emergent communication
brendenlake/SCAN
Simple language-driven navigation tasks for studying compositional learning
mikelewis0/easyccg
UniversalDependencies/UD_Japanese-BCCWJ
nyu-dl/MultimodalGame
megagonlabs/ginza
A Japanese NLP Library using spaCy as framework based on Universal Dependencies
atcbosselut/comet-commonsense
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
batra-mlp-lab/lang-emerge
[EMNLP 2017] Code for "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog"
AlexKuhnle/ShapeWorld
lgraesser/MultimodalGame
facebookresearch/EGG
EGG: Emergence of lanGuage in Games
stanojevic/Rotating-CCG
lambdalisue/jupyter-vim-binding
Jupyter meets Vim. Vimmer will fall in love.