Popular GitHub Repositories for Floor Plan

Roadmap to becoming an Artificial Intelligence Expert in 2022

A complete daily plan for studying to become a machine learning engineer.

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

?2-in-1 AI Developer and Project Manager. AI agents plan an entire project in Todoist and code it task by task.

?A curated list of Awesome DiT Inference Papers with Codes.

Implementation of "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents"

Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

?A curated list of Awesome Diffusion Inference Papers with codes: Sampling, Caching, Multi-GPUs, etc. ??

[NeurIPS 2024 D&B Spotlight?] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

A Simplified Pytorch Version of the Dreamer Algorithm

CrewAI agents that can plan your vacation.

Python environment for AI agents to complete tasks on-device through a conversational chat interface. Agents plan step-wise execution paths with real-time problem solving to complete complex tasks.

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (Distinguished Paper Award)

An autonomous vehicle guide for computer science students and software engineers

MPO: Boosting LLM Agents with Meta Plan Optimization

It shows case studies of the LangGraph agent.

[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

A tool convert TensorRT engine/plan to a fake onnx