petuum / tuun
Hyperparameter tuning via uncertainty modeling
☆46Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for tuun
- Distributed ML Optimizer☆31Updated 3 years ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 4 years ago
- ☆17Updated 4 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated 11 months ago
- Ludwig benchmark☆19Updated 2 years ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆66Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 3 years ago
- ☆9Updated 10 months ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- Efficient Deep Learning Survey Paper☆32Updated last year
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago
- ☆15Updated 2 years ago
- benchmarking some transformer deployments☆26Updated last year
- ☆56Updated 2 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Updated last year
- This is the repository holding code and data for "FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply".☆31Updated 3 years ago
- Distributed skorch on Ray Train☆57Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Generating Training Data Made Easy☆43Updated 4 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 3 years ago
- [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems☆28Updated last year
- ☆30Updated 2 years ago
- ☆36Updated 2 years ago
- ☆21Updated last year
- Distributed Bayesian Optimization☆23Updated 4 years ago
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆43Updated 5 years ago
- A study of the downstream instability of word embeddings☆12Updated 2 years ago