petuum / tuunLinks
Hyperparameter tuning via uncertainty modeling
☆47Updated last year
Alternatives and similar repositories for tuun
Users that are interested in tuun are comparing it to the libraries listed below
Sorting:
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated last week
- Distributed ML Optimizer☆32Updated 3 years ago
- ☆17Updated 4 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆67Updated last year
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆47Updated last year
- "Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation☆29Updated 4 months ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- ☆23Updated 2 years ago
- Ludwig benchmark☆20Updated 3 years ago
- [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems☆29Updated 2 years ago
- RecZilla: Metalearning for algorithm selection on Recommender Systems☆24Updated last year
- JAX implementation of Learning to learn by gradient descent by gradient descent☆27Updated 8 months ago
- Unified slicing for all Python data structures.☆35Updated 4 months ago
- ☆22Updated 7 years ago
- SPEAR: Programmatically label and build training data quickly.☆107Updated 11 months ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning☆35Updated 2 months ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- ☆15Updated 3 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- A learning curve benchmark on OpenML data☆30Updated 6 months ago
- Distributed skorch on Ray Train☆57Updated 2 years ago
- Document parameters using comments☆10Updated 3 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year