Ruben Fiszel rubenfiszel
rubenfiszel
/ submission.py
Created
December 12, 2016 23:13
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| import numpy as np | |
| np.random.seed(1337) # for reproducibility | |
| from keras.preprocessing import sequence | |
| from keras.models import Sequential | |
| import as_keras_ds | |
| import argparse | |
| from keras.models import load_model | |
| import sys | |
| import os |
rubenfiszel
/ IfThenElse.scala
Created
November 25, 2016 14:37
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| package scala.lms | |
| package common | |
| import internal._ | |
| import java.io.PrintWriter | |
| import scala.reflect.SourceContext | |
| import scala.lms.internal.{GenericNestedCodegen, GenericFatCodegen, GenerationFailedException} | |
rubenfiszel
/ Ints.scala
Last active
November 24, 2016 23:17
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| package scala.lms | |
| package common | |
| import simulacrum._ | |
| trait Ints2 extends Base { | |
| @typeclass trait Num[A]{ | |
| @op("+") def plus(x:A, y: A): A | |
| } |
rubenfiszel
/ IfThenElse.scala
Last active
November 3, 2016 18:24
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| def __ifThenElse[A:Rep, B](cond: Boolean, thenp: => A, elsep: => B)(implicit pos: SourceContext, mB: Lift[B,A]): A | |
| abstract class AbstractIfThenElse[T] extends Def[T] { | |
| val cond: Exp[scala.Boolean] | |
| val thenp: Block[T] | |
| val elsep: Block[T] | |
| } | |
| case class IfThenElse[T:Typ](cond: Exp[Boolean], thenp: Block[T], elsep: Block[T]) extends AbstractIfThenElse[T] | |
rubenfiszel
/ repl
Created
October 25, 2016 20:27
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| scala> trait Exp[T] { def p = 1 } | |
| defined trait Exp | |
| scala> trait Expr { type E[T] <: Exp[T] } | |
| warning: there was one feature warning; re-run with -feature for details | |
| defined trait Expr | |
| scala> object G extends Expr { type E[T] = Exp[T]; def e:E[Any] = new Exp[Any]{} } | |
| defined object G |
rubenfiszel
/ det.scala
Last active
October 1, 2016 16:44
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| test("4") { | |
| trait Linp4 extends Matrices with BoolAlgebra { | |
| val det: Matrix[X] => X = toplevel("det", { (a: Matrix[X]) => | |
| requires(a.rows == a.cols) | |
| a.reflectMutableInput | |
| requires(a.rows == a.cols) | |
| val order = a.rows | |
| if (order == 1) | |
| a(0, 0) | |
| else { |
rubenfiszel
/ Cartpole.java
Created
August 12, 2016 17:33
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| package org.deeplearning4j.rl4j; | |
| import org.deeplearning4j.rl4j.gym.space.Box; | |
| import org.deeplearning4j.rl4j.learning.ILearning; | |
| import org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning; | |
| import org.deeplearning4j.rl4j.learning.sync.qlearning.discrete.QLearningDiscreteDense; | |
| import org.deeplearning4j.rl4j.mdp.gym.GymEnv; | |
| import org.deeplearning4j.rl4j.network.dqn.DQNFactoryStdDense; | |
| import org.deeplearning4j.rl4j.policy.DQNPolicy; |
rubenfiszel
/ .Xressources
Created
August 12, 2016 16:43
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| Xcursor.theme: Vanilla-DMZ-AA | |
| Xcursor.size: 22 | |
| URxvt*termName: rxvt | |
| URxvt.saveLines: 32767 | |
| URxvt*scrollstyle: plain | |
| URxvt*scrollBar_right: true |
rubenfiszel
/ debug.java
Created
August 10, 2016 16:57
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| package org.deeplearning4j.rl4j; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.DenseLayer; | |
| import org.deeplearning4j.nn.conf.layers.OutputLayer; | |
| import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; | |
| import org.deeplearning4j.nn.weights.WeightInit; |
rubenfiszel
/ debug.java
Created
August 10, 2016 16:51
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| package org.deeplearning4j.rl4j; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.DenseLayer; | |
| import org.deeplearning4j.nn.conf.layers.OutputLayer; | |
| import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; | |
| import org.deeplearning4j.nn.weights.WeightInit; |