Popular GitHub Repositories for Task Scheduler

An AI-powered task-management system you can drop into Cursor.

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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.

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

? AgentVerse ? is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

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.

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Intelligent (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps. Fast ?? task clarification, agent routing, seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs.

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

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network(BT, FSM, HTN)

Backlog.md - A tool for managing project collaboration between humans and AI Agents in a git ecosystem

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Resource scheduling and cluster management for AI

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]