Ray Alternatives

Ray

Alternatives to Ray

Framework for distributing machine learning workloads easily.

Ray is a framework designed to distribute machine learning workloads seamlessly across multiple machines. Byโ€ฆ

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Toloka

Gain expert data for AI model training and evaluation.

Kaggle Notebooks

Effortlessly explore and run machine learning projects.

Facebook AI

Open-source AI models for customizable communication solutions.

Anaconda

Comprehensive platform for data science and AI development.

Humanloop

Collaborative environment for evaluating large language models.

Maslo

AI application development made easy for businesses.

Neurelo

Integrates AI agents with enterprise databases securely and efficiently.

Run AI

Automates and accelerates AI workflows for effective resource management.

Playment

Data solutions for enhancing AI models with human intelligence.

DeepMind RETRO

Advanced artificial intelligence for diverse research applications.

Datasaur

Data labeling and private LLM development made efficient.

AICamp

Collaborative AI workspace for team productivity and efficiency.

AIxBlock

Build and deploy AI models without coding skills.

ML

Framework for integrating machine learning into applications.

IBM Watson Studio

Collaborative environment for building and managing AI models.

PyCaret

A low-code library for building machine learning models effortlessly.

Intelยฎ AI Academy

Comprehensive AI development support for efficient project execution.

Monsterapi

A user-friendly interface for managing and deploying AI models.

Torch

A framework for scientific computing and machine learning.

Scale

Data management and labeling solution for AI applications.

Lume

Automate and validate data mapping effortlessly.

FriendliAI

Generative AI inference system for streamlined model deployment.

Cerebras

Advanced computing for AI-driven tasks and data processing.

Deepset

Custom AI development for enhanced business efficiency.

Appen

Data solutions that enhance advanced AI model performance.