Popular GitHub Repositories for Reaching Task

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

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

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.

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

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)

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.

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

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

A PyTorch Library for Multi-Task Learning

A lightweight task engine for building stateful AI agents that prioritizes simplicity and flexibility.

TigerBot: A multi-language multi-task LLM

Multi-Task Deep Neural Networks for Natural Language Understanding

Open-source Multi-agent Poster Generation from Papers