782169620

782169620's Stars

• 1252471868/flsim

  A simulation framework for Federated Learning written in PyTorch

  Language:Python1

• panxipeng/nuclear_segandcls

  Nuclear Segmentation and Classification with Imbalanced Annotations.

  Language:Python122

• shariqiqbal2810/maddpg-pytorch

  PyTorch Implementation of MADDPG (Lowe et. al. 2017)

  Language:Python560128

• QiangLong2017/Deep-Reiforcement-Learning

  Language:Python5213

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python606118

• BeomhanBaek/Three-Dynamic-Pricing-Schemes-for-Resource-Allocation-of-Edge-Computing-for-IoT-Environment

  Simulation Codes for Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment

  Language:Python2819

• depaul2012/NOMA_with_reinformcement

  Optimizing resource allocation with deep reinforcement learning

  Language:Python328

• LoveBUPT2018/joint-computation-offloading-and-resource-allocation

  joint computation offloading and resource allocation in Internet of Vehicle

  Language:Python6911

• AlbertoCastelo/resource-allocation-opt

  Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python

  Language:Python298

• litian96/fair_flearn

  Fair Resource Allocation in Federated Learning (ICLR '20)

  Language:Python24159

• davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  Language:Python323101

• Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation

  Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

  Language:Python19553

• Lei-Kun/Dispatching-rules-for-FJSP

  This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

  Language:Python7612

• Lei-Kun/End-to-end-DRL-for-FJSP

  This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

  Language:Python23555

• Lei-Kun/DRL-and-graph-neural-network-for-routing-problems

  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

  Language:Python17623

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k

• google-research/federated

  A collection of Google research projects related to Federated Learning and Federated Analytics.

  Language:Python678194

• qcappart/hybrid-cp-rl-solver

  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

  Language:Python17747

• phuijse/MachineLearningBook

  Libro virtual sobre Machine Learning

  Language:Jupyter Notebook2417

• flint-xf-fan/Byzantine-Federated-RL

  code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

  Language:Python8313

• guobbin/PFL-MoE

  Federated Learning - PyTorch

  Language:Python156

• hbayerlein/uav_data_harvesting

  Python implementation of DDQN multi-UAV data harvesting

  Language:Python14937

• FriendsOfREDAXO/community

  🌎 REDAXO Community World Map

  Language:HTML101168

• haarnoja/sac

  Soft Actor-Critic

  Language:Python976234

• WHDY/FedAvg

  Implement FedAvg algorithm based on Tensorflow

  Language:Python22953

• litian96/FedProx

  Federated Optimization in Heterogeneous Networks (MLSys '20)

  Language:Python636157

• shaoxiongji/federated-learning

  A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

  Language:Python1.3k360

• IBM/FedMA

  Code for Federated Learning with Matched Averaging, ICLR 2020.

  Language:Python32885

• TalwalkarLab/leaf

  Leaf: A Benchmark for Federated Settings

  Language:Python833243

• SMILELab-FL/FedLab

  A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

  Language:Jupyter Notebook724125