nzw0301

*2vec papers

1. act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
2. apk2vec https://arxiv.org/abs/1809.05693
3. app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
4. ast2vec https://arxiv.org/abs/2103.11614
5. attribute2vec https://arxiv.org/abs/2004.01375
6. author2vec http://dl.acm.org/citation.cfm?id=2889382
7. baller2vec https://arxiv.org/abs/2102.03291
8. bb2vec https://arxiv.org/abs/1809.09621

steipete

# The trick is to link the DeviceSupport folder from the beta to the stable version.
# sudo needed if you run the Mac App Store version. Always download the dmg instead... you'll thank me later :)

# Support iOS 15 devices (Xcode 13.0) with Xcode 12.5:
sudo ln -s /Applications/Xcode-beta.app/Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport/15.0 /Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/DeviceSupport

# Then restart Xcode and reconnect your devices. You will need to do that for every beta of future iOS versions

# (A similar approach works for older versions too, just change the version number after DeviceSupport)

raphw

import java.lang.instrument.Instrumentation;
import java.lang.reflect.Layer;
import java.lang.reflect.Module;
import java.util.*;

public class WeakeningAgent {

    public static void premain(String argument, Instrumentation instrumentation) {
        boolean full = argument != null && argument.equals("full");
        Set<Module> importing = new HashSet<>(), exporting = new HashSet<>();

harperjiang

import org.nd4j.linalg.api.ndarray.INDArray
import org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
import org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
import org.nd4j.linalg.factory.Nd4j

import scala.util.Random

object Xavier {
  def init(shape: Array[Int]): INDArray = {
    var n = shape.dropRight(1).product

chourobin

Bridging Native & React for iOS & Android

js -> native

• Simple Example
• Callbacks
• Promises
• Properties

native -> js

mayoff

@import Foundation;
@import CoreGraphics;

typedef struct __attribute__((objc_boxable)) CGPoint CGPoint;
typedef struct __attribute__((objc_boxable)) CGSize CGSize;
typedef struct __attribute__((objc_boxable)) CGRect CGRect;
typedef struct __attribute__((objc_boxable)) CGVector CGVector;

int main(int argc, const char * argv[]) {
    @autoreleasepool {

hogmoru

Technical details for https://stackoverflow.com/a/44169445/6730571

Details of investigation:

On a base system, /usr/bin/java is a symlink that points to /System/Library/Frameworks/JavaVM.framework/Versions/Current/Commands/java, which is an Apple wrapper tool that locates and executes the actual java.

(Do not touch anything in those 2 system directories. It should actually be impossible due to "System Integrity Protection" anyway.)

If you don't have Java installed, attempting to execute java will open a dialog that invites you to install it.

Catfish-Man

#import <Foundation/Foundation.h>
#import <time.h>
#import <os/lock.h>

#define ITERS 2000
#define NSEC_PER_ITER(time) (((double)time * (double)NSEC_PER_SEC) / (double)ITERS)

#define TEST(body, name) do {\
    start = [NSDate date];\
    for (int i = 0; i < ITERS; i++) {\

djspiewak

Thread Pools

Thread pools on the JVM should usually be divided into the following three categories:

1. CPU-bound
2. Blocking IO
3. Non-blocking IO polling

Each of these categories has a different optimal configuration and usage pattern.

neubig

"""
DyNet implementation of a sequence labeler (POS taggger).
This is a translation of this tagger in PyTorch: https://gist.github.com/hal3/8c170c4400576eb8d0a8bd94ab231232

Basic architecture:
 - take words
 - run though bidirectional GRU
 - predict labels one word at a time (left to right), using a recurrent neural network "decoder"
The decoder updates hidden state based on:
 - most recent word