Andrew Hundt (ahundt)

ahundt

Geek Repo

Company:The Johns Hopkins University

Location:Baltimore

Home Page:ahundt.github.io

Twitter:@athundt

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Organizations
jhu-lcsr

Andrew Hundt's repositories

homebrew-robotics

Homebrew formulae to automatically install tools for use in the fields of Robotics, Machine Learning, and Computer Vision.

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enas

TensorFlow code for paper "Training Frankenstein's Creature to Stack: HyperTree Architecture Search"

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keras-contrib

Keras community contributions

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Keras-FCN

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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deep-learning-jhu-cs-482-682

Deep learning JHU CS 482 682 assignments

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hrl-kdl

Kinematics and geometry utilities for KDL

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

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robot-grasp

a project to use learning to solve the robotic grasp problem

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Tasks

The Tasks library is designed to make real-time control for kinematics tree and list of kinematics tree.

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tfrecords

Functions for creating tfrecords for TensorFlow models.

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co-fusion

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

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code_to_pdfs

A script to convert a list of repositories into one pdf file for each repository.

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eigen-qld

eigen-qld allow to use the QLD QP solver with the Eigen3 library.

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Eigen3ToPython

Provide Eigen3 to numpy conversion

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ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

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ignite

High-level library to help with training neural networks in PyTorch

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jrl-cmakemodules

CMake utility toolbox

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mc_rbdyn_urdf

A ROS-free URDF parser to create RBDyn structures

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PlotJuggler

Awesome timeseries visualization

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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RBDyn

RBDyn provide a set of class and function to model the dynamics of rigid body system.

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remoteApiBindings

Bindings of the Remote API for various languages

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robot-grasp-detection

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

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sch-core

Implementation and computation algorithms for the convex hulls

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sch-core-python

Python bindings for the sch library

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SpaceVecAlg

Implementation of spatial vector algebra with the Eigen3 linear algebra library.

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tensorboard-pytorch

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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tensorflow

Computation using data flow graphs for scalable machine learning

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xonsh

Python-powered, cross-platform, Unix-gazing shell

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