RickArko

RickArko's Stars

• nfl-football-ops/Big-Data-Bowl

  Homepage for the National Football League's Big Data Bowl

  142166

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.8k10.9k

• zreyn/nfl

  Language:Jupyter Notebook41

• marvin-ai/marvin-python-toolbox

  Marvin AI has been accepted into the Apache Foundation and is now available at https://github.com/apache/incubator-marvin

  Language:Python14035

• MarcSkovMadsen/awesome-streamlit

  The purpose of this project is to share knowledge on how awesome Streamlit is and can be

  Language:HTML2.1k351

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python34.8k3k

• tdda/applehealthdata

  Extract Data from Apple Health App's XML Export

  Language:Python9721

• ivailop7/Health-Data-Analysis

  Personal Health Data Analysis in Jupyter Notebook

  Language:Jupyter Notebook213

• markwk/qs_ledger

  Quantified Self Personal Data Aggregator and Data Analysis

  Language:Jupyter Notebook987199

• mganjoo/apple-health-exporter

  Python module to export Apple Health dump file to a data frame for analysis

  Language:Python5815

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.6k3.8k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.6k25.3k

• peters-josh/spending-tracker

  A simple, unified view of your transaction history across all your payment methods

  Language:Python21760

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python13.1k2.3k

• aebrer/winnower

  Language:Python8

• catboost/tutorials

  CatBoost tutorials repository

  Language:Jupyter Notebook1k409

• DevScope/ai-lab

  Artificial Intelligence & Machine Learning Experiments by DevScope

  Language:Jupyter Notebook203

• snorkel-team/snorkel

  A system for quickly generating training data with weak supervision

  Language:Python5.8k859

• materialsintelligence/mat2vec

  Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

  Language:Python617180

• Hexxeh/spotify-websocket-api

  Spotify Websocket API is a fully open source Spotify library based on the WebSocket API used in the Spotify Web beta

  Language:Python39667

• mindsdb/mindsdb

  The platform for building AI from enterprise data

  Language:Python26.3k4.8k

• faizann24/XssPy

  XssPy - Web Application XSS Scanner

  Language:Python834230

• gothinkster/realworld

  "The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more

  Language:TypeScript80.4k7.3k

• uwdata/papers-vsup

  Visualize uncertainty

  Language:TeX271

• AdrianAntico/AutoQuant

  R package for automation of machine learning, forecasting, model evaluation, and model interpretation

  Language:R23543

• szilard/benchm-ml

  A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

  Language:R1.9k334

• rasbt/python-machine-learning-book-2nd-edition

  The "Python Machine Learning (2nd edition)" book code repository and info resource

  Language:Jupyter Notebook7.1k2.8k