2 repository-uri
Awesome GitHub RepositoriesRuntime Hyperparameter Tuning
The ability to modify model parameters in memory during active training sessions.
Distinct from Hyperparameter Configurations: Focuses on real-time injection during runtime rather than static configuration or optimization algorithms.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Runtime Hyperparameter Tuning. Refine with filters or upvote what's useful.
Awesome Runtime Hyperparameter Tuning GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- poloclub/transformer-explainer
poloclub/transformer-explainer
6,790Vezi pe GitHubThis project is a collection of interactive graphical tools designed for monitoring neural network training, latent space mappings, and the internal mechanisms of transformers. It functions as a visual learning environment for understanding how large language models process tokens and an educational tool for analyzing the interactions between generators and discriminators within adversarial networks. The system provides a browser-based transformer architecture visualizer to show the mathematical operations used for token prediction in real time. It also includes a generative adversarial netwo
Allows updating model configuration variables in memory during runtime to observe immediate changes in learning behavior.
JavaScriptdeep-learninggenerative-aigpt - dlr-rm/rl-baselines3-zoo
DLR-RM/rl-baselines3-zoo
2,725Vezi pe GitHubThis project is a collection of pretrained reinforcement learning agents and training scripts built on Stable Baselines3 and Gymnasium. It provides a framework for training agents to solve specific tasks, managing experiment reproducibility, and deploying pretrained models. The system includes a specialized benchmarking suite and optimization tools for tuning agent settings. It utilizes automated search spaces and distributed trials to maximize performance, while employing bootstrap sampling to generate statistically robust performance metrics and confidence intervals. Broad capabilities cov
Provides a default configuration entry that applies to any environment not explicitly listed in tuning files.
Pythondeep-reinforcement-learninggymhyperparameter-optimization
