automl / LCBenchLinks
A learning curve benchmark on OpenML data
☆31Updated 10 months ago
Alternatives and similar repositories for LCBench
Users that are interested in LCBench are comparing it to the libraries listed below
Sorting:
- Collection of hyperparameter optimization benchmark problems☆153Updated 4 months ago
- Surrogate benchmarks for HPO problems☆28Updated 4 months ago
- ☆17Updated 11 months ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆91Updated last month
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆34Updated 2 weeks ago
- Bayesian neural network package☆151Updated 4 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆54Updated 6 years ago
- [NeurIPS DBT 2021] HPO-B☆36Updated 2 months ago
- ☆88Updated 5 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆106Updated 2 weeks ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆154Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆233Updated 11 months ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- Code accompanying https://arxiv.org/abs/1802.02219☆18Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 10 months ago
- ☆23Updated 2 years ago
- In-context Bayesian Optimization☆17Updated last month
- ☆13Updated 3 years ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆79Updated 4 months ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Launching and monitoring Slurm experiments in Python☆20Updated last month
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆16Updated 3 months ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆78Updated last week
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated 11 months ago