Search Results for "q-dir"

...Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents.

...See please excellent projects: https://github.com/liferay/liferay-faces-showcase/ and https://github.com/heroku/webapp-runner/ , also https://mvnrepository.com/search?q=webapp-runner and https://mvnrepository.com/search?q=com.liferay.faces.demo .

...As there are a lot of browsers being supported it might take a while to accept a PR, we will use the feedback from other users too. You can use the raphaelTest.html to try things, you need to start a server in the root dir to start testing things there.

Q is a JavaScript promise library created before native promises became standard across modern browsers and Node.js. It lets asynchronous functions return promise objects representing future values or errors instead of relying entirely on nested callbacks. Promise chains flatten asynchronous control flow and automatically propagate failures toward shared error handlers.

REINFORCEjs is a JavaScript reinforcement-learning library built to demonstrate several major RL algorithms directly in the browser. It includes dynamic programming methods for finite environments and tabular temporal-difference learning with SARSA and Q-learning. A Deep Q-Learning agent extends Q-learning to continuous state features through neural-network function approximation. The project also experiments with stochastic and deterministic policy gradients and actor-critic methods for continuous action spaces. Its API separates reusable neural-network utilities from reinforcement-learning agents. ...

...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.