DS3Lab / online-active-model-selectionLinks
Repository for "Online Active Model Selection for Pre-trained ML Classifiers"
☆15Updated 2 years ago
Alternatives and similar repositories for online-active-model-selection
Users that are interested in online-active-model-selection are comparing it to the libraries listed below
Sorting:
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Updated 3 years ago
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆18Updated 5 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆140Updated last year
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆65Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆169Updated 2 years ago
- Sketched SGD☆28Updated 5 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆109Updated 3 years ago
- ☆46Updated 5 years ago
- Privacy Budget Orchestration in Machine Learning Workloads (OSDI '21)☆25Updated 2 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆72Updated 5 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 4 months ago
- Model-less Inference Serving☆92Updated last year
- Oort: Efficient Federated Learning via Guided Participant Selection☆128Updated 3 years ago
- Code for reproducing experiments performed for Accoridon☆13Updated 4 years ago
- A Deep Learning Cluster Scheduler☆39Updated 4 years ago
- ☆23Updated 3 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆27Updated 3 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆224Updated last year
- a deep learning-driven scheduler for elastic training in deep learning clusters☆32Updated 4 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36Updated 5 years ago
- ☆24Updated 4 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 5 years ago
- Learning-Based Coded Computation☆47Updated 2 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- Distributed ML Training Benchmarks☆27Updated 2 years ago