philipphager’s gists

philipphager / AdjacencyList.java

Last active June 7, 2019 08:12

Simple GraphJet

	package segments;

	import java.util.*;

	public class AdjacencyList {
	private static final int[] NODE_THRESHOLDS;

	static {
	NODE_THRESHOLDS = new int[32];
	NODE_THRESHOLDS[0] = 0;

philipphager / ReservoirSampler.java

Created May 23, 2019 06:56

Random Walk

	public class ReservoirSampler {
	private final Random random;
	private final int[] buffer;
	private int writePosition;
	private int readPosition;

	public ReservoirSampler(int size) {
	this.random = new Random();
	this.buffer = new int[size];
	this.writePosition = 0;

philipphager / output.csv

Last active May 22, 2019 15:00

subject	predicate	object
confluent	achieve	holy grail
telegram	add	unsend
avast	think	ccleaner
google	release	tez
odis	bring	alexa
microsoft ventures	back	illusive networks
elon musk	exit	trump
sherpa	turn	instagram
at&t	make	directv

philipphager / BipartiteGraph.java

Last active May 15, 2019 06:16

Basic Twitter SALSA implementation

	import java.util.*;

	public class BipartiteGraph {
	private final Map<String, List<String>> leftToRight;
	private final Map<String, List<String>> rightToLeft;

	public BipartiteGraph() {
	leftToRight = new HashMap<>();
	rightToLeft = new HashMap<>();
	}

philipphager / party.json

Created May 11, 2019 18:21

German Parlament Topic Data

[{"party": "spd", "members": 202, "topics": {"0": 0.04462631894897639, "1": 0.030298982545961035, "2": 0.17560700611761895, "3": 0.07978005520624103, "4": 0.06723973581172867, "5": 0.021756432741495146, "6": 0.07281972205872525, "7": 0.035198775544720784, "8": 0.026206746343589337, "9": 0.02015431514225945, "10": 0.035853569520036585, "11": 0.017522608807300777, "12": 0.04836807339928674, "13": 0.047162954414010166, "14": 0.046806188449461, "15": 0.031334624906131224, "16": 0.05220294282744657, "17": 0.04109634543171888, "18": 0.05632319260162189, "19": 0.049641409181670156}}, {"party": "gruene", "members": 71, "topics": {"0": 0.026971855540870796, "1": 0.03418054494600681, "2": 0.15935268364146812, "3": 0.08136658732358806, "4": 0.10041029331399118, "5": 0.0298567596122006, "6": 0.0781907882024178, "7": 0.045431686522771395, "8": 0.034542157803550244, "9": 0.024057724547168178, "10": 0.030199740713313643, "11": 0.019034640058956335, "12": 0.05824091447543428, "13": 0.04317808518648628, "14": 0.03046647467726

philipphager / word-2-vec-prime.config

Last active May 7, 2019 07:51

Word2Vec Embedding for Prime Video Dataset

	{
	"embeddings": [
	{
	"tensorName": "My tensor",
	"tensorShape": [
	26352,
	100
	],
	"tensorPath": "https://gist.githubusercontent.com/philipphager/8efbce1b26b34249a6e6ebe7233ee6fd/raw/037b49bede0fd17e598469e1cd8d46ca229028ea/word-2-vec-tensor.tsv",
	"metadataPath": "https://gist.githubusercontent.com/philipphager/d606e5185dd45d8cf3afa39709717eff/raw/2be669e6629ea6bf40d78de4108efb5827088b4d/word-2-vec-meta.tsv"

philipphager / word-2-vec-meta.tsv

Created May 7, 2019 07:36

Word2Vec Embedding for Prime Video Dataset

We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.

	appeal
	big
	boring
	detective
	english
	expectation
	guy
	investigative
	love
	particular

philipphager / word-2-vec-tensor.tsv

Last active May 7, 2019 07:48

Word2Vec Embedding for Prime Video Dataset

We can't make this file beautiful and searchable because it's too large.

-0.045706913	0.30585727	-0.035342585	0.073817454	0.027168615	-0.007677051	-0.12477071	-0.13671759	-0.028741503	-0.06406718	-0.09465194	0.18167421	0.024413325	-0.035261717	-0.123358406	-0.028613098	0.006569881	0.096095264	0.0537913	0.07545384	0.0028597992	0.066315554	0.02318037	0.018929208	-0.10739591	0.13760614	-0.13718557	0.020370366	0.020194191	-0.051938593	-0.105849706	0.07474335	0.013643867	-0.13587312	-0.06226042	0.1404782	-0.006735392	-0.11090239	0.09764515	0.11872706	-0.12148369	0.19498137	0.06430403	0.068087794	0.29772076	0.13119532	0.04606703	-0.13092415	0.13915189	0.074174196	-0.06321168	0.14663415	-0.08537185	-0.18759735	0.12143317	0.01708801	-0.11909505	-0.05818373	0.05620106	-0.15173313	0.04383486	0.18599313	0.06545563	-0.04472025	0.056377266	0.009878585	-0.0128651345	-0.1316982	-0.060614653	-0.033385176	0.02585074	0.043304265	-0.06635272	0.1069556	0.08209329	-0.13574818	-0.21313773	-0.01548819	-0.029777387	0.062272582	-0.04779019	0.030823868	-0.07995703	0.048718106	0.0078293355	0.13999689	-0.078

philipphager / prime.config

Last active May 6, 2019 14:09

Settings file for projector.tensorflow.org for Prime Video Dataset

	{
	"embeddings": [
	{
	"tensorName": "My tensor",
	"tensorShape": [
	1000,
	50
	],
	"tensorPath": "https://gist.githubusercontent.com/philipphager/47cb4a11d3a1d90798be42231d6b3bca/raw/df4d31a01210f79128ed0faf9d70287fe17319e8/prime-tensor.tsv",
	"metadataPath": "https://gist.githubusercontent.com/philipphager/0eb7107308edd04b109b59befa2c299b/raw/85346f36c23ac4e238ca1700ee845f9117dd2926/prime-meta.tsv"

philipphager / prime-meta.tsv

Created May 6, 2019 14:01

Fasttext Embedding for Prime Video Reviews

We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.

	follower
	crisis
	timid
	tryst
	watchman
	annis
	dichotomy
	pumping
	righting
	matching

Philipp Hager philipphager