Search Results for "soncpp-src-0.5.0"

...Emojis also support multiple skin tones and can be GIFs or SVGs. You can use custom category icons by providing an object with the category name as key and the icon as value. Currently supported formats are svg string and src. First, you need to make sure data has been initialized. You need to call this only once per page load. Note that if you call init like this, you don’t necessarily need to include data in your Picker props. It doesn’t hurt either, it will noop.

...Compiled source, which combines all of the modules, can be obtained from GitHub, and source files can be found in Source. The Bower package shall install the aforementioned "/src" and "/dist" directories. The "/src" directory provides individual modules which can be packaged as desired. If a network string is provided: A consent window to authenticate with that network will be initiated. Else if no network is provided a prompt to select one of the networks will open. A callback will be executed if the user authenticates and or cancels the authentication flow.

...Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file.

...Navobile uses CSS to apply CSS3 translations, Mobile device detection, and fix the position of the nav. In the CSS file we used for this demo and the one that is included in the src folder the mobile breakpoint is at 765px using a media query, you can, of course, change this to suit your needs. Changing the timing function used by the transform alters Navobile's css. The available timing functions available are listed on MDN although we don't recommend any of the step timing functions. If you want something really bespoke you could use Lea Vearou's Cubic bezier tool.

...It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. The compilation script simply concatenates files in src/ and then minifies the result.