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difacto2_ffm

Distributed Fieldaware Factorization Machines based on Parameter Server

difacto_dmlc

Distributed FM and LR based on Parameter Server with Ftrl

difacto_ffm

a distributed version of ffm based on difacto

distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

dssm

elki

ELKI Data Mining Toolkit

es_dfm

code of our AAAI 2021 paper Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

face_recognition

Real time facial detection and detection using OpenCV, dlib and OpenFace

faiss

A library for efficient similarity search and clustering of dense vectors.

finegrainedopinionmining

细粒度情感分析repository2：细粒度情感分析接口，aspect-based sentiment analysis based on HMM.

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

kdtf

Knowledge Distillation using Tensorflow

kdtree

KDTree library

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

lightctr

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction Based Machine Learning, Deep Learning and Philosophy of Parameter Server.

m2grl

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

mimn

models

Models and examples built with TensorFlow

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

neural-factorization-machine

Factorization Machine, Deep Learning, Recommender System

neural_factorization_machine

neuralturingmachine

Tensorflow implementation of a Neural Turing Machine

ntm

TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)