ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A star delta has been computed for 61,465 of 62,212 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 17:04 and 08:04 (BKK).
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A hyperparameter optimization framework
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Fast and Accurate ML in 3 Lines of Code
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Autonomous Performance Tuning for Kubernetes!
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Universal Python SDK to run AI workloads on Kubernetes
Real-time Web Dashboard for Optuna.
Hyperparameter Experiments with TensorFlow and Keras
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
That's all 16 repositories in this period.
