lu-tju Goto Github PK

agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

allocnet

Kumar的work: A lightweight learning-based trajectory optimization framework.

assign-cbaa

Implementation of CBAA and CBBA algorithms as described by Choi, Brunet, How

assign-cbba-python

This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).

avoidbench

AvoidBench

cnn_kinect

大创：利用CNN和Kinect进行动作识别

counter-strike_behavioural_cloning

IEEE CoG & NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

crossgap_il_rl

csgo_ai

基于yolo的csgo AI

deep_panther

esvo

This repository maintains the implementation of "Event-based Stereo Visual Odometry".

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flightmare

An Open Flexible Quadrotor Simulator

glas

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

grad_traj_optimization

Gradient-Based Online Safe Trajectory Generator

monodepth-estimation

Contain four types of monodepth estimation models which based on deep learning (monodepth2 & MiDaS)

motion_primitive_library

Search-based motion planning for differential flat systems

mpl_ros

A ROS wrapper for trajectory planning based on motion primitives

mppi_pendulum

The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Learning" (Williams et al., 2017) for the pendulum OpenAI Gym environment

neural_path_planning

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

schurvins

slam_file

研究生slam的杂项

task-allocation-auctions

分布式拍卖matlab实现

taskassign

some task assign algorithm ROS packages

torch2trt

An easy to use PyTorch to TensorRT converter

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tutorial

初学深度学习的入门示例