Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.
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TensorFlow World To support maintaining and upgrading this project, please kindly consider Sponsoring the project developer. Any level of support is a
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Overview 架构设计 插件介绍 安装使用 框架简介 方便使用，支持多模态，多任务的统一训练框架 能力列表： bert + 分类任务 自定义任务训练（插件注册） 框架设计 框架采用分层的思想组织模型训练流程。 DATA 层负责读取用户数据，根据 field 管理数据。 Parser 层负责转换原
Generative Models as Distributions of Functions This repo contains code to reproduce all experiments in Generative Models as Distributions of Function
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angledat Angle data is a simple data type. Installing + using Put angledat.py in the main dir of your project. Import it and use. Comments Comments st
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Quick Links: Installation | Documentation | WWDC 2019 | WWDC 2018 Turi Create Check out our talks at WWDC 2019 and at WWDC 2018! Turi Create simplifie
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Implementation of "Robot Reinforcement Learning on the Constraint Manifold"
Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand
GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho
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