NYU Deep Learning Spring 2020

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

PyTorch tutorials.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

PyTorch Tutorial for Deep Learning Researchers

Attempted ant colony optimization, with cuda

GPU-Accelerated 3D Ant Colony Simulation and Visualization

Repositorio para la asignatura de Metaheurísticas del curso 15-16

test programs for grid object identification and mapping

Created a 2D map discretized into a grid of square cells that can be blocked, unblocked, or partially blocked in Python. Computed the optimal path from a start node to a goal node using a heuristic…

Plan a path through 3D space using grid search and A*.

datastructure that handles the placement of objects at certain rectangular coordinates, and grabs items nearby too

Plans paths in 3d environments for drones

Ant colony algorithm used for grid map path planning.

Using ACO algorithm for grid search

A* pathfinding in a grid world maze where only straight line moves are allowed. Manhattan distance is used as the heuristic, and various versions of A* were used and analyzed.

A Genetic Algorithm for Multi-Goal 3D Occupancy Grid Path Planning

Grid-Based Mapping and Localisation for the Hamster Robot

Motion planning project (P1)

A Python implementation of the A* algorithm in a 2D Occupancy Grid Map

An API for working with flying objects, simulated, unidentified, and otherwise.

Global optimization by uniform random global search

A* path planning in various 3D environments