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awesome

A curated list of awesome lists

awesome-deep-vision

A curated list of deep learning resources for computer vision

carnd-capstone

carnd-lenet-lab

Implement the LeNet deep neural network model with TensorFlow.

cocoapods-private

Private Cocoapods specs

deep-learning-models

Keras code and weights files for popular deep learning models.

discovery

A very simple library to discover and retrieve data from nearby devices (even if the peer app works at background).

dotfiles

macOS / Linux configs

dskcf_cpp

foassclient

iOS Client for https://github.com/xenph/foaas

functional

Functional snippets

gazebo_osm

OpenStreetMap support for Gazebo

gazebo_ros_pkgs

Wrappers, tools and additional API's for using ROS with Gazebo. Formally simulator_gazebo stack

git-tree.nvim

gps_umd

homebrew

:beer: The missing package manager for OS X.

image_common

Common code for working with images in ROS

libosmium

Fast and flexible C++ library for working with OpenStreetMap data.

lock

Android Lock Screen

magni_robot

Starting point for Magni Robots. Includes launch files and configuration.

mmlanscan

MMLanScan edited to support Carthage

multitarget-tracker

Hungarian algorithm + Kalman filter multitarget tracker implementation.

mvvmkit

MVVM abstraction toolbelt for iOS

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nvim-config

nvim-plugins

odrive

High performance motor control

ompl_demo

opencv-code

C++ and Python code extracted from the tutorials at http://opencv-code.com

opencv-haar-classifier-training

Learn how to train your own OpenCV Haar classifier