jerichosiahaya

jerichosiahaya's Stars

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python230k6.1k025.1k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.6k2.3k11710k

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  24.5k1.2k226.1k

• seatgeek/fuzzywuzzy

  Fuzzy String Matching in Python

  Language:Python9.2k259187874

• quartznet/quartznet

  Quartz Enterprise Scheduler .NET

  Language:C#6.6k3051k1.7k

• nextapps-de/winbox

  WinBox is a modern HTML5 window manager for the web: lightweight, outstanding performance, no dependencies, fully customizable, open source!

  Language:JavaScript6.3k71121207

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python5k8074303

• farizdotid/DAFTAR-API-LOKAL-INDONESIA

  Berisi API tentang Data Indonesia ataupun API yang dibuat oleh developer Indonesia <3

  Language:TypeScript4.7k71841.4k

• micku7zu/vanilla-tilt.js

  A smooth 3D tilt javascript library.

  Language:JavaScript3.9k3678175

• mhxion/awesome-discord-communities

  A curated list of awesome Discord communities for programmers

  Language:Python2.9k6046198

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k30161469

• jamesmontemagno/Xamarin.Plugins

  Cross-platform Native API Access from Shared Code!

  1.3k168301379

• vijishmadhavan/SkinDeep

  Get Deinked!!

  Language:Jupyter Notebook950159109

• johnwmillr/LyricsGenius

  Download song lyrics and metadata from Genius.com 🎶🎤

  Language:Python93420173166

• boringPpl/data-engineer-roadmap

  Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

  900692193

• VladislavAntonyuk/MauiSamples

  .NET MAUI Samples

  Language:C#7693167193

• louisowen6/NLP_bahasa_resources

  A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

  49981132

• sastrawi/sastrawi

  [Inactive] High quality stemmer library for Indonesian Language (Bahasa)

  Language:PHP4233552165

• JovianHQ/opendatasets

  A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.

  Language:Python328158140

• kmkurn/id-nlp-resource

  A list of Indonesian NLP resources.

  27815148

• Jcharis/DataScienceTools

  Useful Data Science and Machine Learning Tools,Libraries and Packages

  Language:Jupyter Notebook231150230

• kirralabs/indonesian-NLP-resources

  data resource untuk NLP bahasa indonesia

  23010049

• mazipan/ksana.in

  ✂️ Layanan pemendek tautan yang mudah, gratis & tanpa iklan

  Language:TypeScript20223215

• MartinKBeck/TwitterScraper

  Repository containing all files relevant to my basic and advanced tweet scraping articles.

  Language:Jupyter Notebook199714117

• Kahbazi/MediatR.AspNetCore.Endpoints

  Language:C#11161412

• ashishpatel26/Titanic-Machine-Learning-from-Disaster

  Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

  Language:Jupyter Notebook813180

• evanmartua34/Twitter-COVID19-Indonesia-Sentiment-Analysis---Lexicon-Based

  This repository do mainly 3 things: twitter data scrapping , data analysis, sentiment analysis and generation

  Language:Jupyter Notebook733022

• Argaadya/workshop-text-classification

  Language:HTML9202

• Clara9594/Gesit

  Language:Vue1101

• malwanw/proteam_project

  Language:C#110