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chrisshencs's Projects

algnet icon algnet

The implementation of "Auction Learning as a Two-Player Game"

citransnet icon citransnet

Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).

cpp_primer_practice icon cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

fedmatch icon fedmatch

This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

flpytorch icon flpytorch

FL_PyTorch: Optimization Research Simulator for Federated Learning

libmtl icon libmtl

A PyTorch Library for Multi-Task Learning

maab icon maab

Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022

make-ipinyou-data icon make-ipinyou-data

This project is to formalise the iPinYou RTB data into a standard format for further researches.

mgda icon mgda

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

minigpt-4 icon minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

nma icon nma

NMA code which contains point-wise DNN, clpm, LDRM.

optimal-rtb icon optimal-rtb

A benchmarking framework supporting the experiments in KDD'14 paper "Optimal Real-Time Bidding for Display Advertising"

rlb-dp icon rlb-dp

Real-Time Bidding by Reinforcement Learning in Display Advertising

rscfed icon rscfed

CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

sponsored_search_auction_simulation icon sponsored_search_auction_simulation

Program bidding agents to participate in a generalized second-price (GSP) auction and explore the effect that the design of payment rules has on revenue in a simulated environment.(Harvard CS136 Economics and Computation)

unidiffuser icon unidiffuser

Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

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