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ad-papers

Papers on Computational Advertising

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

aiohttp-cors

CORS support for aiohttp

alternating-reader-tf

Iterative Alternating Neural Attention for Machine Reading in Tensorflow

argoverse-api

Official GitHub repository for Argoverse dataset

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

async_grpc

Framework for building asynchronous, multi-threaded gRPC services

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

autoencoder

Text autoencoder with LSTMs

av2-api

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

awesome-rl

Reinforcement learning resources curated

awesome-rspapers

Recommender System Papers

bert

TensorFlow code and pre-trained models for BERT

blog_code

caser-tensorflow

A TensorFlow Implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cloudml-samples

Samples for Google Cloud Machine Learning Engine

cnn-dssm

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

confluent-kafka-python

Confluent's Kafka Python Client

deep-convolutional-autoencoder

This is a tutorial on creating a deep convolutional autoencoder with tensorflow.

deep-recommender-system

深度学习在推荐系统中的应用及论文小结。

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms

25 projects in the framework of Deep Reinforcement Learning algorithms: DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.