The Mighty cRL library you've been looking for!
☆61Aug 1, 2026Updated 3 weeks ago
Alternatives and similar repositories for Mighty
Users that are interested in Mighty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆34Jun 16, 2026Updated 2 months ago
- Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.☆16Nov 14, 2025Updated 9 months ago
- ☆25Sep 23, 2024Updated last year
- Launching and monitoring Slurm experiments in Python☆34Jun 29, 2026Updated 2 months ago
- In-context Freeze-Thaw Bayesian Optimization☆20Feb 20, 2026Updated 6 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆21Feb 2, 2026Updated 6 months ago
- ☆91Jan 27, 2026Updated 7 months ago
- Latex Template for AutoML-Conf☆19Feb 19, 2026Updated 6 months ago
- Sandbox environment for generalizable agent research☆27Aug 19, 2022Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆68Jun 17, 2020Updated 6 years ago
- A learning curve benchmark on OpenML data☆35Nov 29, 2024Updated last year
- This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement …☆16Aug 19, 2021Updated 5 years ago
- HyperSHAP is a holistic framework for explaining hyperparameter optimization based on Shapley values and interactions.☆21Apr 24, 2026Updated 4 months ago
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Jan 6, 2026Updated 7 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆83Updated this week
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- A rich, visual interface for easily starting and monitoring your Hydra applications on SLURM clusters☆17Dec 9, 2025Updated 8 months ago
- A PyTorch implementation of "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆44Mar 1, 2023Updated 3 years ago
- ☆58Updated this week
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆25Apr 19, 2024Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆184Nov 20, 2025Updated 9 months ago
- Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenA…☆25May 3, 2020Updated 6 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆25Dec 6, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A python package to design and debug RL agents.☆35Apr 2, 2026Updated 4 months ago
- Collection of hyperparameter optimization benchmark problems☆172May 21, 2025Updated last year
- PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.☆12Jan 15, 2020Updated 6 years ago
- [ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization☆15Mar 26, 2024Updated 2 years ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Mar 22, 2023Updated 3 years ago
- Dynamic Algorithm Configuration☆21Jan 22, 2020Updated 6 years ago
- Surrogate benchmarks for HPO problems☆34May 26, 2025Updated last year
- repo for the MPC-RL summer school project☆14Nov 5, 2022Updated 3 years ago
- Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)☆19Sep 13, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Standard interface for entity based reinforcement learning environments.☆40Feb 28, 2024Updated 2 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,244Updated this week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆149Jan 21, 2026Updated 7 months ago
- This repository may contain useful scripts for debugging on a remote slurm cluster.☆10Nov 8, 2024Updated last year
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆20Nov 12, 2023Updated 2 years ago
- A CLI to run reproducible evaluation across EuroHPC clusters☆19Aug 20, 2026Updated last week
- Parameter Importance according to OpenML☆14Feb 23, 2022Updated 4 years ago