Popular GitHub Repositories for Loop Scheduling

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

? A Human-in-the-Loop workflow for creating HD images from text

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） ? 在线电子书 https://charmve.github.io/computer-vision-in-action/ ?项目主页

Resource scheduling and cluster management for AI

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Review-Gate V2 is a powerful rule for the Cursor IDE that helps you get up to 5x more value from your monthly requests. It creates an interactive loop where the AI waits for your follow-up commands—via text, voice, or image upload—allowing you to perform deep, iterative work all within a single request.

The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

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

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

Everything you need about Active Learning (AL).

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

Power Tools for AI Engineers With Deadlines

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

Chat with and teach your calendar to solve your scheduling & time problems

Run your deep learning workloads on Kubernetes more easily and efficiently.