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2022-nips-tenrec

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]

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-privacy

Repository for collection of research papers on privacy.

deepmd-pytorch

dpdp_competition

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

feddct

FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks

fedmc

fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

fedrep

fl-bench

Benchmark of federated learning, dedicated to the community.

gcn-npec

PyTorch implementation of GCN-NPEC in "Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach"

hrl-rec

"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

l0_regularization

Learning Sparse Neural Networks through L0 regularization

lg-fedavg

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

loss-balanced-task-weighting

metabalance

MetaBalance algorithm for multi-task learning

ml

mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

multiobjectiveoptimization

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

multitask-recommendation-library

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

niid-bench

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

pfedme

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

pfl-non-iid

Personalized federated learning simulation platform with Non-IID and unbalanced dataset

recommenders

Best Practices on Recommendation Systems

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sparse-sharing

Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"

swarm_learning

Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020