ray
AI computing framework
A unified framework for scaling AI and Python applications by providing a distributed runtime and a set of libraries for machine learning and other compute tasks.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
34k stars
478 watching
6k forks
Language: Python
last commit: about 1 month ago
Linked from 11 awesome lists
automldata-sciencedeep-learningdeploymentdistributedhyperparameter-optimizationhyperparameter-searchjavallm-servingmachine-learningmodel-selectionoptimizationparallelpythonpytorchrayreinforcement-learningrllibservingtensorflow
Backlinks from these awesome lists:
-
vinta/awesome-python
-
josephmisiti/awesome-machine-learning
-
jobbole/awesome-python-cn
-
ethicalml/awesome-production-machine-learning
-
bharathgs/awesome-pytorch-list
-
oxnr/awesome-bigdata
-
pditommaso/awesome-pipeline
-
kelvins/awesome-mlops
-
hibayesian/awesome-automl-papers
-
ly0n/awesome-robotic-tooling
-
amrzv/awesome-colab-notebooks
Related projects:
| Repository | Description | Stars |
|---|---|---|
| ray-project/llmperf | A tool for evaluating the performance of large language model APIs | 678 |
 ai-hypercomputer/maxtext | A high-performance LLM written in Python/Jax for training and inference on Google Cloud TPUs and GPUs. | 1,557 |
 drhuffman12/ai4cr | A library that provides artificial intelligence capabilities for crystal programming language | 28 |
 raymo111/raymo111 | A suite of tools for building and deploying cloud-native machine learning models with ease | 219 |
 qpv-research-group/rayflare | Software for simulating and modeling complex optical systems using multiple simulation methods | 35 |
 b3nk4n/tensorlight | A high-level framework for machine intelligence applications using TensorFlow. | 11 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 507 |
 kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,591 |
 adgefficiency/energy-py | A framework for running reinforcement learning experiments on energy systems | 175 |
 mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 |
 wyy-123-xyy/ra-fed | A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs | 6 |
 fetchai/uagents | A framework for creating autonomous AI agents with simple decorators and cryptographic security. | 1,158 |
 project-dc/pygeneses | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
 layssi/carla_ray_rlib | An open-source reinforcement learning framework for autonomous driving tasks using the Carla-Simulator environment and Ray/Rllib libraries. | 35 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 266 |