Pinned Repositories
abu
阿布股票量化系统
Ad-papers
Papers on Computational Advertising
adanet
Fast and flexible AutoML with learning guarantees.
adaptive-standout
Replication of the paper "Adaptive dropout for training deep neural networks" using Lasagne.
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
adversarial_personalized_ranking
Adversarial Learning, Matrix Factorization, Recommendation
advisor
Open-source implementation of Google Vizier for hyper parameters tuning
aes_msl_mtl
AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
unbiased-pairwise-rec
(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
renyi533's Repositories
renyi533/unbiased-pairwise-rec
(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
renyi533/AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
renyi533/auction-gym
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
renyi533/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 prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
renyi533/Awesome-RSPapers
Recommender System Papers
renyi533/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.
renyi533/ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
renyi533/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
renyi533/FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
renyi533/FasterTransformer
Transformer related optimization, including BERT, GPT
renyi533/gems
renyi533/gpt4all
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
renyi533/HybridBackend
A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
renyi533/LibAUC
LibAUC: A Deep Learning Library for X-Risk Optimization
renyi533/make-ipinyou-data
This project is to formalise the iPinYou RTB data into a standard format for further researches.
renyi533/mtl-consistency
renyi533/Multitask-Recommendation-Library
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
renyi533/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
renyi533/RecBole
A unified, comprehensive and efficient recommendation library
renyi533/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
renyi533/RerankSim
renyi533/RL4RS
A Real-World Benchmark for Reinforcement Learning based Recommender System
renyi533/RLBid_EA
This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis.
renyi533/SASRec
SASRec: Self-Attentive Sequential Recommendation
renyi533/SIGIR21-SURGE
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
renyi533/tiny-profiler
A tiny CPU profiler for Java written completely in Java 17.
renyi533/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
renyi533/unbiased-implicit-rec
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
renyi533/WSDM2019-nextitnet
A Simple Convolutional Generative Network for Next Item Recommendation
renyi533/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators