Alternatives and similar repositories for park

Users that are interested in park are comparing it to the libraries listed below

• hongzimao / decima-sim
  Learning Scheduling Algorithms for Data Processing Clusters
  ☆320Updated 4 years ago
• hongzimao / input_driven_rl_example
  Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)
  ☆31Updated 6 years ago
• netx-repo / neuroplan
  ☆94Updated 2 years ago
• dcgym / iroko
  A platform to test reinforcement learning policies in the datacenter setting.
  ☆71Updated 2 years ago
• hongzimao / deeprm
  Resource Management with Deep Reinforcement Learning (HotNets '16)
  ☆309Updated 2 years ago
• newtrip-project / metis
  Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
  ☆90Updated 7 months ago
• PCCproject / PCC-RL
  Reinforcement learning resources for PCC.
  ☆168Updated 3 years ago
• DIR-LAB / deep-batch-scheduler
  RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]
  ☆63Updated 2 years ago
• quovadim / RL-Cache
  ☆29Updated 6 years ago
• lwangbm / Metis
  Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale
  ☆19Updated 5 years ago
• GenetProject / Genet
  The repository of Genet project.
  ☆51Updated 3 years ago
• aravic / generalizable-device-placement
  Reference code for https://arxiv.org/abs/1906.08879
  ☆18Updated 6 years ago
• CausalSim / Unbiased-Trace-Driven-Simulation
  ☆37Updated 2 years ago
• xiangni / DREAM
  Deep reinforcement learning for REsource Allocation in streaM processing
  ☆30Updated 2 years ago
• facebookresearch / mvfst-rl
  An asynchronous RL platform for congestion control in QUIC transport protocol. https://arxiv.org/abs/1910.04054.
  ☆157Updated 3 years ago
• ArchieGertsman / spark-sched-sim
  A Gymnasium environment for simulating job scheduling in Apache Spark
  ☆42Updated 2 years ago
• harvard-cns / teal
  Codebase for Teal (SIGCOMM 2023)
  ☆58Updated last year
• stanford-futuredata / POP
  Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021
  ☆28Updated 4 years ago
• VITA-Group / SymbolicPCC
  📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang …
  ☆16Updated 3 years ago
• SPEAR-UIC / CQSim
  ☆41Updated 8 months ago
• Soheil-ab / Orca
  Orca: Towards Mastering Congestion Control In the Internet
  ☆117Updated 4 years ago
• netcontract / ncflow
  Anonymized code for NCFlow, NSDI 2021 Spring submission
  ☆24Updated 4 years ago
• WhiRLVerification / WhiRL
  ☆12Updated 5 years ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆51Updated 6 years ago
• Sharif-Rezaie / RL-TCP
  Reinforcement Learning based TCP congestion control
  ☆51Updated 5 years ago
• Soheil-ab / sage
  Sage of Congestion Control (or How Computers Can Learn from Existing Schemes and Master Internet CC)
  ☆49Updated 2 years ago
• FC-Li / CloudSimPy
  CloudSimPy: Datacenter job scheduling simulation framework
  ☆255Updated last year
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆66Updated 3 years ago
• OpenNetLab / gym
  This gym leverages NS3 and WebRTC, which can be used by reinforcement learning or other methods to build a Bandwidth Controller for WebRT…
  ☆47Updated 4 years ago
• pengyanghua / DL2
  a deep learning-driven scheduler for elastic training in deep learning clusters
  ☆31Updated 4 years ago