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adda

course-v3

The 3rd edition of course.fast.ai

cycada_release

Code to accompany ICML 2018 paper

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

nlpgnn

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

wide_deep

Wide and Deep Learning for CTR Prediction in tensorflow