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airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autotransdrl

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

dm-vio

Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry

gcopter

A General-Purpose Trajectory Optimizer for Multicopters

gobigger

Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

high_mpc

Learning High-Level Policies for Model Predictive Control.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

kalman-filter-in-single-object-tracking

A simple implementation of Kalman filter in single object tracking

kcvision

Some datasets about the project of KCVision

my-ebook

odmd

Object Depth via Motion and Detection Dataset

onboard-sdk

DJI Onboard SDK Official Repository

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

parl

A high-performance distributed training framework for Reinforcement Learning

perception

Team of ChongShi Perception Source Code

prometheus

Open source software for autonomous drones.

px4-autopilot

PX4 Autopilot Software

px4-opticalflow

This repository contains different algorithms to calculate the optical flow. It can be used as input for a position estimator

pythonrobotics

Python sample codes for robotics algorithms.

rl-algorithms

RL algorithms

rl-pytorch-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

rl-rllib

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rl_rvo_nav

The source code of the paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards"

rtrl

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

sac_fae

Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenario

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

test

First one