Popular GitHub Repositories for Cronjob Scheduler

Turns Data and AI algorithms into production-ready web applications in no time.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Resource scheduling and cluster management for AI

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

Low-code Visual Backend Builder, powered by AI ? Create APIs, scheduled jobs, backend tasks, database CRUD, and integrate with any tool or APIs.

Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Kubernetes Scheduler for Deep Learning

基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理，数据模型管理，数据集成，数据查询API接口，低代码自定义数据处理任务模版，单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答，链接各数据源数据进行数据对话问答，交互式数据分析功能。

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

A class scheduler using adaptive-elitist genetic algorithm.

denoising diffusion models, as simple as possible

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

PyTorch implementation of some learning rate schedulers for deep learning researcher.

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Inference scheduler for llm-d

Scrape Reddit for marketing pain points using GPT — built to fuel Cronlytic's growth.

Supercharge your async applications with tasks so fast, you’ll think you’re bending time itself.

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)