Alternatives and similar repositories for mindware

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

• PKU-DAIR / open-box
  Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
  ☆430Updated last week
• thomas-young-2013 / open-box
  Generalized and Efficient Blackbox Optimization System.
  ☆85Updated 2 years ago
• PKU-DAIR / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training.
  ☆331Updated 2 weeks ago
• quiver-team / torch-quiver
  PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
  ☆302Updated 2 years ago
• thomas-young-2013 / mindware
  An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear…
  ☆62Updated 3 years ago
• PKU-DAIR / HyperTune
  Efficient Hyper-parameter Tuning at Scale (VLDB'22)
  ☆10Updated 4 years ago
• Hsword / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …
  ☆122Updated 2 years ago
• alibaba / graphlearn-for-pytorch
  A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
  ☆147Updated 3 months ago
• yzhao062 / pytod
  TOD: GPU-accelerated Outlier Detection via Tensor Operations
  ☆189Updated 2 years ago
• ch-wan / awesome-gnn-systems
  A list of awesome GNN systems.
  ☆333Updated this week
• camlsys / degree-quant
  ICLR 2021
  ☆48Updated 4 years ago
• rapidsai / wholegraph
  WholeGraph - large scale Graph Neural Networks
  ☆106Updated last year
• daochenzha / autoshard
  [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems
  ☆22Updated 2 years ago
• microsoft / ParrotServe
  [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable
  ☆204Updated last year
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆18Updated last year
• vbdi / epdserve
  [ICML 2025] Efficiently Serving Large Multimodal Models Using EPD Disaggregation
  ☆21Updated 7 months ago
• daochenzha / neuroshard
  [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
  ☆16Updated 2 years ago
• PKU-DAIR / SGL
  A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
  ☆157Updated last year
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆268Updated 2 months ago
• facebookresearch / dlrm_datasets
  Set of datasets for the deep learning recommendation model (DLRM).
  ☆48Updated 3 years ago
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆47Updated 2 years ago
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆47Updated last year
• daochenzha / dreamshard
  [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems
  ☆29Updated 2 years ago
• nex-agi / NexRL
  NexRL is an ultra-loosely-coupled LLM post-training framework.
  ☆62Updated last month
• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆93Updated 2 years ago
• amazon-science / tgl
  ☆216Updated 2 years ago
• UbiquitousLearning / Paper-list-resource-efficient-large-language-model
  ☆102Updated last year
• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆56Updated 2 years ago
• chenzhao / light-dist-gnn
  ☆47Updated 3 years ago
• google-research-datasets / tpu_graphs
  ☆129Updated last year