Stars
Latex code for making neural networks diagrams
An implementation of the paper "Learning to Reweight Examples for Robust Deep Learning" from ICML 2018 with PyTorch and Higher.
dicicch / SysFake
Forked from Langer81/Summer-REU-ResearchA classifier to help users identify false news.
A Multimodal Repository for COVID-19 News Credibility Research
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Multilinear Factorization Machines for multi-task multi-view learning
Computational Fact Checking from Knowledge Networks
Stanford Open Information Extraction made simple!
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …
Text classifier for Hierarchical Attention Networks for Document Classification
Stance Detection with Conditional Encoding
Graph Convolutional Networks for Text Classification. AAAI 2019
Scalable Graph Neural Networks with Deep Graph Library
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
This flask app implements similar functionality to Kaggle.com. The app allows companies/individuals to host their own data science competitions with a common task framework leader board and automat…
A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
TensorFlow 2.0 implementation of MAML.