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Ray

Appears in 13 awesome lists

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

Open github.comray-project/ray

Found in these lists

Awesome Big Data

Section: Distributed Programming · A fast and simple framework for building and running distributed applications.

ActiveScore 84

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · Scalable hyperparameter tuning library

FreshScore 92

Awesome Machine Learning

Section: Python · RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.

FreshScore 93

Awesome MLOps

Section: Optimization Tools · Fast and simple framework for building and running distributed applications.

FreshScore 80

Awesome Open Source AI

Section: 7. Training & Fine-tuning Ecosystem · Scalable distributed training.

FreshScore 89

Awesome Pipeline

Section: Pipeline frameworks & libraries · Flexible, high-performance distributed Python execution framework.

FreshScore 86

Awesome Production Machine Learning

Section: Computation and Communication Optimisation · Ray is a flexible, high-performance distributed execution framework for machine learning.

FreshScore 92

awesome-python

Section: Concurrency and Parallelism · Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

FreshScore 81

Awesome-Pytorch-list

Section: Other libraries: · A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

FreshScore 88

Awesome Robotic Tooling

Section: Machine Learning · A fast and simple framework for building and running distributed applications.

StaleScore 54

Libraries and packages

Section: Graph Computation · An open source framework that provides a simple, universal API for building distributed applications.

FreshScore 86

Awesome Python

Section: Distributed Computing · A unified framework for scaling AI and Python applications.

FreshScore 94

Awesome Systematic Trading

Section: Computation · | Python, C++ | - An open source framework that provides a simple, universal API for building distributed applications.

FreshScore 89

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails