- Eva Icons: MIT
- Clarity Icons (MIT License)
- Feather Icons (MIT License)
- BallIcons (Commercial, not FOSS)
- Glyphish
- IconBros: Nice icons for commercial use
- DevIcons: Icons for programming languages and tools (Java, Atom etc)
- FontAwesome: SVGs and iconfont
vmgarcia
delikat
/ next.config.js
Last active
August 4, 2021 03:39
Modular antd imports with next.js, next-less, next-typescript, and babel-plugin-import
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| const withLess = require('@zeit/next-less') | |
| const withTypescript = require('@zeit/next-typescript') | |
| const resolve = require('resolve') | |
| module.exports = withTypescript(withLess({ | |
| lessLoaderOptions: { | |
| javascriptEnabled: true, | |
| // theme antd here | |
| modifyVars: {'@primary-color': '#1Dd57A'} |
mosdragon
/ PokerTest.java
Last active
September 28, 2018 19:56
Example of how to use ABAGAIL for Randomized Optimization of Neural Network Weights
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| package opt.test; | |
| import func.nn.backprop.BackPropagationNetwork; | |
| import func.nn.backprop.BackPropagationNetworkFactory; | |
| import func.nn.backprop.BatchBackPropagationTrainer; | |
| import func.nn.backprop.RPROPUpdateRule; | |
| import opt.OptimizationAlgorithm; | |
| import opt.RandomizedHillClimbing; | |
| import opt.SimulatedAnnealing; | |
| import opt.example.NeuralNetworkOptimizationProblem; |