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adversarial-learning-for-neural-dialogue-generation-in-tensorflow

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

awesome-interpretable-machine-learning

awesome-network-embedding

A curated list of network embedding techniques.

awesome-social-agents

A collection of works that investigate social agents, simulations and their real-world impact in text, embodied, and robotics contexts.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

der

Code for "Dynamic Explainable Recommendation based on Neural Attentive Models"

dmn-tensorflow

TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'

ears2019.github.io

ecm

This project is a tensorflow implement of our work, ECM.

geardeeprecommender

gearrecommender

gearsuccess.github.io

gitpage

gnnpapers

Must-read papers on graph neural network (GNN)

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

kbe4explainablerecommendation

Code for Paper: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)

llm-optimizers-papers

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

machine_unlearning

Existing Literature about Machine Unlearning

neural-dialogue-generation

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

paperlist-for-recommender-systems

Recommender Systems Paperlist that I am interested in

peerread

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

recbole

A unified, comprehensive and efficient recommendation library

reco-papers

Classic papers and resources on recommendation

recsim_ng

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems