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Name: Zhen Deng
Type: User
Company: University of Hamburg
Bio: apply machine learning to robot manipulation
Location: Germany
Name: Zhen Deng
Type: User
Company: University of Hamburg
Bio: apply machine learning to robot manipulation
Location: Germany
Image augmentation library in Python for machine learning.
Core utilities for Berkeley AutoLab.
Deep Learning and deep reinforcement learning research papers and some codes
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A python tutorial on bayesian modeling techniques (PyMC3)
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
A repository for control benchmarking code
Seminars DeepBayes Summer School 2018
This toolbox provides some combination methods to fuse an ensemble of classifiers
Feature Selection
Gaussian Process Implicit Surface and Contact-level Grasp Planning
Work on Gaussian Process Implicit Surfaces
Guided Policy Search
Simple implementation of GP-UCB algorithm.
Python modules for GQ-CNN training and deployment, with ROS integration
A labelling tool for grasp rectangles.
Grasp Synergies (aka eigengrasps): compute, store, and command low-dimensional grasp representations.
Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).
Repository to accompany arXiv:1709.10087 (RSS 2018 paper)
Set of exercises accompanying the ICRA 2019 Tutorial on Dynamical System based Learning from Demonstration: https://epfl-lasa.github.io/TutorialICRA2019.io/
Some Python Implementations of the Kalman Filter
This package contains execution code for LPV-DS tasks from Nadia's CoRL (2018) paper using the DS-impedance controller for the KUKA LWR 4+ robot in simulation (gazebo) and real robot.
Open source drivers for the Kinect for Windows v2 device
LSTM-Autoencoder and LSTM-Predictor in Tensorflow
Models built with TensorFlow
This project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.
Aim to use deep reinforcement learning to realize obstacle avoidance.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.