Popular GitHub Repositories for 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

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

Type-safe, persistent, embedded task queues and background job runner w/ SQLite. Web monitoring UI included.

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

Gthulhu optimizes cloud-native workloads using the Linux Scheduler Extension for different application scenarios.

Inference scheduler for llm-d

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

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.