PKU-DAIR / mindwareLinks
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
☆56Updated 3 years ago
Alternatives and similar repositories for mindware
Users that are interested in mindware are comparing it to the libraries listed below
Sorting:
- Generalized and Efficient Blackbox Optimization System.☆83Updated 2 years ago
- Generalized and Efficient Blackbox Optimization System☆411Updated 8 months ago
- An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear…☆61Updated 3 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆152Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆309Updated 2 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆112Updated last year
- [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems☆29Updated 2 years ago
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆22Updated 2 years ago
- ☆21Updated 3 years ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆14Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆300Updated last year
- The official implementation of "Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization"☆16Updated last year
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆138Updated 2 months ago
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16Updated 2 years ago
- ICLR 2021☆48Updated 4 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆82Updated 2 weeks ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- A paper collection about automated graph learning☆96Updated last year
- ☆29Updated 4 months ago
- The official implementation of WSDM'24 paper <DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting>☆22Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆48Updated 11 months ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆30Updated 9 months ago
- ☆12Updated last year
- ☆40Updated 10 months ago
- ☆45Updated 2 years ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆48Updated 7 months ago
- A MoE impl for PyTorch, [ATC'23] SmartMoE☆64Updated last year
- [NeurIPS 2023] Model-enhanced Vector Index☆26Updated last year