geoalgo / slurmpilot
Launching and monitoring Slurm experiments in Python
☆16Updated last week
Alternatives and similar repositories for slurmpilot:
Users that are interested in slurmpilot are comparing it to the libraries listed below
- In-context Bayesian Optimization☆15Updated last month
- Surrogate benchmarks for HPO problems☆27Updated last month
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆71Updated this week
- A learning curve benchmark on OpenML data☆30Updated 3 months ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆84Updated last week
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- ☆15Updated 4 months ago
- a minimal website to get the diff of llm rewrites☆11Updated 3 months ago
- The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …☆34Updated last month
- [ICLR 2021] Few Shot Bayesian Optimization☆18Updated 2 years ago
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆15Updated 4 months ago
- Tabular In-Context Learning☆53Updated last week
- Collection of hyperparameter optimization benchmark problems☆145Updated 9 months ago
- TabDPT: Scaling Tabular Foundation Models☆26Updated last week
- ☆75Updated 7 months ago
- The Mighty cRL library you've been looking for!☆17Updated last month
- Our maintained PFN repository. Come here to train SOTA PFNs.☆65Updated last month
- A build-it-yourself AutoML Framework☆71Updated 4 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆80Updated 2 years ago
- A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.☆11Updated this week
- [NeurIPS DBT 2021] HPO-B☆28Updated 7 months ago
- A framework for QuickTune☆14Updated 2 months ago
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆14Updated last year
- Compare and ensemble models without retraining☆48Updated this week
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆207Updated 4 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last month
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆13Updated 11 months ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆44Updated last year
- A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data☆17Updated 6 months ago
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆31Updated 3 months ago