Pinned Repositories
0xDeCA10B
Decentralized & Collaborative AI on Blockchain
2dshapley
This is an official repository for "2D-Shapley: A Framework for Fragmented Data Valuation" (ICML2023).
A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness
The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.
fair_flearn
Fair Resource Allocation in Federated Learning (ICLR '20)
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
FedMA
Code for Federated Learning with Matched Averaging, ICLR 2020.
FedMD
FedMD: Heterogenous Federated Learning via Model Distillation
FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
Tzq2doc's Repositories
Tzq2doc/PyTorch-Reparam-Module
Reparameterize your PyTorch modules
Tzq2doc/influence-release
Tzq2doc/Shapley-Study
Tzq2doc/federated-model-averaging-for-DQN
In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorithms.
Tzq2doc/fl-lottery
Tzq2doc/SILK
Walking with Attention: Self-guided Walking for Heterogeneous Graph Embedding
Tzq2doc/FEDL
FEDL-Federated Learning algorithm using TensorFlow
Tzq2doc/DQN-DDPG_Stock_Trading
Using DQN/DDPG for stock trading. Xiong, Z., Liu, X.Y., Zhong, S., Yang, H. and Walid, A., 2018. Practical deep reinforcement learning approach for stock trading, NeurIPS 2018 AI in Finance Workshop.
Tzq2doc/Seminar
Tzq2doc/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Tzq2doc/QPLEX
Tzq2doc/FedML
(PyTorch > 1.0) A Research-Oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation
Tzq2doc/wqmix
Code for Weighted QMIX
Tzq2doc/flsim
A simulation framework for Federated Learning written in PyTorch
Tzq2doc/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Tzq2doc/ifca
Codebase for An Efficient Framework for Clustered Federated Learning.
Tzq2doc/FedNova
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
Tzq2doc/seaborn-data
Data repository for seaborn examples
Tzq2doc/Federated-Learning-In-Healthcare
A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.
Tzq2doc/Multi-Touch-Attribution_ShapleyValue
Python implementation of Shapley value for multi touch attribution modeling
Tzq2doc/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Tzq2doc/non_iid_dml
Tzq2doc/neuronshapley
Neuron Shapley: Discovering the Responsible Neurons
Tzq2doc/Deep-Reinforcement-Learning-for-Stock-Trading-DDPG-Algorithm-NIPS-2018
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.
Tzq2doc/Dassl.pytorch
A PyTorch toolbox for domain adaptation and semi-supervised learning.
Tzq2doc/Sparse-Reward-Algorithms
Implement many Sparse Reward algorithms in Gym Fetch environment
Tzq2doc/CommEfficient
PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms
Tzq2doc/dominance-analysis-1
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
Tzq2doc/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
Tzq2doc/sunnies
Shapley values that uncover nonlinear dependencies