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[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
Gazebo/ROS packages for underwater robotics simulation
Optimal Motion Generation-tools: motion planning made easy
UWSim-NET, the Underwater Simulator
RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
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
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang