herilalaina / mosaic_ml
AutoML with MCTS
☆16Updated 2 years ago
Alternatives and similar repositories for mosaic_ml:
Users that are interested in mosaic_ml are comparing it to the libraries listed below
- Collection of hyperparameter optimization benchmark problems☆145Updated 8 months ago
- A learning curve benchmark on OpenML data☆30Updated 2 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆25Updated 11 months ago
- ☆49Updated 6 months ago
- ☆23Updated 2 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Updated 6 years ago
- [NeurIPS DBT 2021] HPO-B☆28Updated 6 months ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆100Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 8 months ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆12Updated 2 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆17Updated 2 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- ☆15Updated 4 months ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆13Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Python implementation of REMBO built on GPyTorch.☆17Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆60Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆143Updated 3 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆91Updated 3 years ago
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.☆100Updated last year
- ☆17Updated 2 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Bayesian neural network package☆141Updated 3 years ago
- Stochastic Mirror Descent on CIFAR-10☆18Updated 5 years ago