Last, but not least, Docear is free, open source, available for Windows, Linux, and Mac OS X, and not evil. directly in Docear and copy annotations and references from your collection directly into your draft.Ī recommender system that helps you to discover new literature: Docear recommends papers which are free, in full-text, instantly to download, and tailored to your information needs. This allows you to draft your own papers, assignments, thesis, etc. With Docear, you can sort documents into categories you can sort annotations (comments, bookmarks, and highlighted text from PDFs) into categories you can sort annotations within PDFs and you can view multiple annotations of multiple documents, in multiple categories – at once.Ī ‘literature suite concept‘ that combines several tools in a single application (pdf management, reference management, mind mapping, …). The 3 most distinct features are:Ī single-section user-interface that allows the most comprehensive organization of your literature. Group, the nested keys would be hidden from the upper layer, which might be unwanted.įurther a standard, efficient Repeat class is supported, which repeats an element an arbitrary number of times.Docear is a unique solution to academic literature management, which helps you organizing, creating, and discovering academic literature. In addition to pyparsing, pyparsing_regex has a GroupLiftKeys class which works like Group, only that all string-keysĪre also available at the upper level (encompassing everything which belongs to that key further down). It is intended to be a replacement for pyparsing where no recursion is needed, in order to speed up parsing Pyparsing_regex is a reimplementation of the pyparsing interface, building upon regular expressions. Python, theano, symbolic programming, numpy, gpu It is build from the probability distribution function of the GaussianNoise. The interactive visualization corresponds to the loss function, here the negative loglikelihood. Please enjoy the visualization of a Multi Layer Perceptron Model,Ĭonsisting out of three layers (AffineNonLinear Model), Higher-level pre-structuring as simple as working with theano expressions It offers maximum control, while still making It strengthens the underlying simplicity of theano.įor those, who know about the OpFromGraph by theano, this is a generic, faster,Īnd better integrable alternative, at least I think so. Ready for interactive coding / prototyping, while being transparent and The Model gives a powerful view on the graphs, The package was developed as part of my master thesis. Perceptrons (MLP) or probabilistic modeling. It is meant for clean programming of symbolic models, for instance Multilayer Type to pre-structure the (occasionally rather big) theano expression graphs. Theano_models is a high-level package around theano which implements a Model It is DEFINITELY not the tool to chose if you don't want to run into a bunch of problems. Quadrocopter, Wild Thumper 4WD (with gripper, which is going to be part of the quadrocopter), and an electro permanent magnet (gripper alternative for quadrocopter). Amit Singh Rajput Docear has been shut down in 2015, in 2017 the developer ceased to support it. Within a fixed apartment, combining the flying quadrocopter (with magnetic gripper)
The first big aim is to transport forks and other little things The whole setting is of course meant as an indoor research project (the 3D sensorsĭo not work that well in the wild). Stationary Microsoft Kinect 2 for higher resolution. The main tracking is supposed to happen by the 3D sensor, which is complemented by a The flying arm gets at most a simple camera sensor for tracking objects during flight. Robot already has an ASUS Xtion 3D sensor, as well as an IMU and a binocular camera system, This robot is meant to be a combination of a base robot, going on wheels,Īnd a quadrocopter with gripper (mechanical/magnetic), realizing the arm of the robot.
#Docear 2017 software#
Everything is collected up to knowīut configuring everything in hardware and software still needs time.
#Docear 2017 professional#
Since a while I am planning to build a second, more professional robot withĪdditional skills.
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