Hooly85

Hooly85's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.6k2412.5k3.3k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k2626341.8k

• marceloprates/prettymaps

  A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

  Language:Jupyter Notebook11.1k8182521

• rzashakeri/beautify-github-profile

  This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐

  11k7218548

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k142232814

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.9k601.5k865

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7k137475923

• sqlite/sqlite

  Official Git mirror of the SQLite source tree

  Language:C6.4k1200970

• orchest/orchest

  Build data pipelines, the easy way 🛠️

  Language:TypeScript4.1k43480255

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k39333270

• MaartenGr/KeyBERT

  Minimal keyword extraction with BERT

  Language:Python3.5k32201344

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3k35531341

• statsbomb/open-data

  Free football data from StatsBomb

  2.4k20942768

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k38290393

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2k18456240

• CamDavidsonPilon/lifetimes

  Lifetime value in Python

  Language:Python1.4k53300375

• ozgur/python-linkedin

  Python interface to the LinkedIn API

  Language:Python8917584393

• ChawlaAvi/Daily-Dose-of-Data-Science

  A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

  Language:Jupyter Notebook768541186

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook751121086

• statsbomb/statsbombpy

  Easily stream StatsBomb data into Python

  Language:Python551212775

• facebookresearch/ppuda

  Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

  Language:Python48520460

• bcafferky/shared

  Code and shared files

  Language:Jupyter Notebook418684335

• ryanjgallagher/shifterator

  Interpretable data visualizations for understanding how texts differ at the word level

  Language:Python27393029

• albahnsen/ML_RiskManagement

  Short Course - Applied Machine Learning for Risk Management

  Language:Jupyter Notebook235241103

• valeman/awesome-conformal-prediction

  A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

  19651018

• DaloroAT/first_breaks_picking

  First break picking in seismic gather

  Language:Python10993139

• NITRO-AI/NitroFE

  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

  Language:Python106408

• danielhkt/deep-forecasting

  Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation

  Language:Jupyter Notebook872237

• kamilest/conformal-rnn

  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.

  Language:Jupyter Notebook653113

• skappal7/PyCaret-Gradio-Prediction-App

  This app is created using PyCaret low code machine learning library and Gradio an open source and easy-to-use UI for your ML model, function, or API with only a few lines of code. Integrate directly into your Python notebook, or share a link with anyone.

  Language:Jupyter Notebook115