DS3Lab / online-active-model-selection
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
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- DeepEverest: a system for efficient DNN interpretation.☆12Updated last year
- ☆74Updated 5 years ago
- ☆30Updated 4 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 3 years ago
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Updated 6 years ago
- Proximal Asynchronous SAGA☆12Updated 7 years ago
- Explaining Inference Queries with Bayesian Optimization☆10Updated 4 years ago
- ☆46Updated 5 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆64Updated 9 months ago
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆29Updated 2 months ago
- Machine learning on serverless platform☆8Updated 2 years ago
- Sketched SGD☆28Updated 4 years ago
- Its BlazeIt because it's blazing fast☆32Updated 3 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago
- Research prototype of deletion efficient k-means algorithms☆23Updated 5 years ago
- ☆17Updated 4 years ago
- Repository to go along with the paper "Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines"☆10Updated 3 years ago
- ☆22Updated 4 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 6 years ago
- Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).☆38Updated 6 years ago
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 3 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 2 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated 2 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Runtime Tracing Library for TensorFlow☆43Updated 6 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago