xiaohan2012

default_language_version:
    python: python3.11
repos:
-   repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v2.3.0
    hooks:
      - id: trailing-whitespace
      - id: end-of-file-fixer
      - id: check-yaml
      - id: check-json

xiaohan2012

\ProvidesPackage{han-macros}[2023-03-03 Han Macros package]
\usepackage{mathtools}
\usepackage{amsmath}
\usepackage{bbm}
\usepackage[dvipsnames]{xcolor}

\DeclareMathOperator*{\argmax}{arg\,max}
\DeclareMathOperator*{\argmin}{arg\,min}

\newcommand{\nat}{\ensuremath{\mathbb N}\xspace}

xiaohan2012

import ray
from tqdm import tqdm


class RayProgressBar:
    @staticmethod
    def num_jobs_done_iter(obj_ids):
        while obj_ids:
            done, obj_ids = ray.wait(obj_ids)
            yield ray.get(done[0])

xiaohan2012

{
  "embeddings": [
    {
      "tensorName": "20newsgroup",
      "tensorShape": [
        1727,
        100
      ],
      "tensorPath": "https://gist.githubusercontent.com/xiaohan2012/ea60050a0093f86237210762804d066b/raw/16a004a3f95b00d0e416f4f61bca79b663904735/20news-embedding.tsv",
      "metadataPath": "https://gist.githubusercontent.com/xiaohan2012/bba8d962a560983b2a4f1e6302f77766/raw/594edaed48724a03c1575fe98a0e974cd8ae8c6f/20newsgroup-labels.tsv"

xiaohan2012

1
0
1
1
1
0
0
0
1
0

xiaohan2012

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xiaohan2012

[{"label":"State 0","isSelected":true,"tSNEIteration":342,"tSNEPerplexity":5,"tSNELearningRate":1,"tSNEis3d":false,"pcaComponentDimensions":[0,1,2],"projections":[{"pca-0":-0.1805076003074646,"pca-1":-0.052298735827207565,"pca-2":0.7568523287773132,"pca-3":-0.44091248512268066,"pca-4":-0.30822834372520447,"pca-5":-0.13008351624011993,"pca-6":0.004937216639518738,"pca-7":0.24454794824123383,"pca-8":0.036458518356084824,"pca-9":-0.011632245033979416,"tsne-0":25.64325238381404,"tsne-1":-2.2261678929273576},{"pca-0":-0.33329975605010986,"pca-1":0.5092434287071228,"pca-2":0.14169825613498688,"pca-3":0.3302021920681,"pca-4":0.5076401829719543,"pca-5":-0.2071685791015625,"pca-6":-0.15575245022773743,"pca-7":-0.16170069575309753,"pca-8":0.21544840931892395,"pca-9":0.047406088560819626,"tsne-0":-3.150499961645024,"tsne-1":3.058536067646262},{"pca-0":-0.4729415476322174,"pca-1":-0.227816641330719,"pca-2":-0.5151332020759583,"pca-3":-0.5534241199493408,"pca-4":0.043921008706092834,"pca-5":-0.04174278303980827,"pca-6":-0

xiaohan2012

{
  "embeddings": [
    {
      "tensorName": "Data science label embedding (from stackexchange)",
      "tensorShape": [
        328,
        48
      ],
      "tensorPath": "https://gist.githubusercontent.com/xiaohan2012/493ae0ac0b813ae0d720cc13315009ea/raw/80dc605d270a366bb3d1282fd2a2a040d2cff4bd/datascience-label-embedding.tsv",
      "metadataPath": "https://gist.githubusercontent.com/xiaohan2012/93d7d5048eaf0aa67250fdc30e3a6c72/raw/0d0da39df461b2f8a16b7f8955289ed1361d992b/datascience-label-text.tsv",

xiaohan2012

nltk
computer-vision
missing-data
gensim
smote
classification
word2vec
powerbi
rnn
education

xiaohan2012

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