PKU-DAIR / mindwareLinks
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
☆61Updated 2 months ago
Alternatives and similar repositories for mindware
Users that are interested in mindware are comparing it to the libraries listed below
Sorting:
- Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)☆432Updated last week
- Generalized and Efficient Blackbox Optimization System.☆85Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆332Updated last month
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated 2 years ago
- Efficient Hyper-parameter Tuning at Scale (VLDB'22)☆10Updated 4 years ago
- [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems☆29Updated 2 years ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆147Updated 4 months ago
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆22Updated 2 years ago
- ICLR 2021☆48Updated 4 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆123Updated 2 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- A list of awesome GNN systems.☆333Updated this week
- ☆21Updated 3 years ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆47Updated last year
- ☆216Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- A paper collection about automated graph learning☆99Updated last year
- WholeGraph - large scale Graph Neural Networks☆106Updated last year
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆126Updated 4 years ago
- ☆129Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆87Updated 7 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆93Updated 2 years ago
- TOD: GPU-accelerated Outlier Detection via Tensor Operations☆189Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Updated 3 years ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆207Updated last year
- ☆47Updated 3 years ago
- Low-Level Graph Neural Network Operators for PyG☆222Updated this week
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆26Updated 4 years ago