keras implement of transformers for humans

Implements Reformer: The Efficient Transformer in pytorch.

A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

code for Explicit Sparse Transformer

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

Legal Juegment Prediction (LJP) with BiLSTM and Attention

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Sequence to Sequence Learning with Keras

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …

Dual Attention Network for Scene Segmentation (CVPR2019)

Keras implementation of Attention Augmented Convolutional Neural Networks

Graph Neural Networks Paper List of 2019 Conferences

Distinguishing Friends from Strangers in Location-based Social Networks using Co-location

Paper list for Network Embedding, Knowledge Base Embedding, Graph Neural Networks

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction / xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction

Learning Community Embedding with Community Detection and Node Embedding on Graphs

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network

Active Learning for Graph Embedding

Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation