Code for the book

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

Gazebo/ROS packages for underwater robotics simulation

Course project for 458

Optimal Motion Generation-tools: motion planning made easy

微信《跳一跳》Python 辅助

UWSim-NET, the Underwater Simulator

Caffe: a fast open framework for deep learning.

PID controller, model predictive controller

Visual Tracking Paper List

RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017

An open autonomous driving platform

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Dete…

Applying transfer learning to a custom dataset by retraining Inception's final layer

PyTorch implementation of the CortexNet predictive model

A Keras project with similarly sized encoder-decoder and u-net networks applied to identifying cars

A list of recent papers regarding deep reinforcement learning

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

Model-based design and verification for robotics.

Neural network visualization toolkit for keras

Action Recognition in Videos using Stacked Optical Flow and HOGHOF features.

A Python implementation of global optimization with gaussian processes.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Sequential model-based optimization with a `scipy.optimize` interface

Deep Reinforcement Learning for Keras.

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

Deep Learning for humans

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang