Stekosan

Stekosan's Stars

• mermaid-js/mermaid

  Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

  Language:TypeScript72k6393k6.5k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.7k1k13514.4k

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.5k4532.1k4.5k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.6k715264k

• Atlas-OS/Atlas

  🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and usability.

  Language:PowerShell14.1k94576524

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.9k1132053.2k

• aimacode/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Jupyter Notebook8k3333983.8k

• feast-dev/feast

  The Open Source Feature Store for Machine Learning

  Language:Python5.6k731.5k996

• has2k1/plotnine

  A Grammar of Graphics for Python

  Language:Python4k64675217

• RoundedTB/RoundedTB

  Add margins, rounded corners and segments to your taskbars!

  Language:C#2.9k62313250

• HandsOnLLM/Hands-On-Large-Language-Models

  Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

  Language:Jupyter Notebook1.9k258355

• tableau/TabPy

  Execute Python code on the fly and display results in Tableau visualizations:

  Language:Python1.6k106319599

• hse-aml/natural-language-processing

  Resources for "Natural Language Processing" Coursera course.

  Language:Jupyter Notebook1.2k59302k

• JohnSnowLabs/spark-nlp-workshop

  Public runnable examples of using John Snow Labs' NLP for Apache Spark.

  Language:Jupyter Notebook1k5778602

• aimacode/aima-exercises

  Exercises for the book Artificial Intelligence: A Modern Approach

  Language:HTML89437852533

• amanjeetsahu/Natural-Language-Processing-Specialization

  This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

  Language:Jupyter Notebook788166672

• odpi/OpenDS4All

  OpenDS4All project, hosted by LF AI & Data

  Language:HTML677458165

• PacktPublishing/Practical-Time-Series-Analysis

  Practical Time-Series Analysis, published by Packt

  Language:Jupyter Notebook404218249

• creewick/MontereyRainmeter

  MacOS style widget pack for Windows

  Language:C++329145639

• Martinomagnifico/reveal.js-appearance

  An animation plugin for Reveal.js that animates elements sequentially like in Powerpoint. Perfect for online portfolios or other presentations with images.

  Language:JavaScript1022912

• carpentries-incubator/proposals

  Open an issue in this repository to share Carpentries-style lessons and lesson ideas.

  88151896

• learning-vi/vi-files

  Files from the Internet related to vi, as described in Appendix D of the book.

  Language:C792027

• PacktPublishing/Data-engineering-with-dbt

  Data engineering with dbt, published by Packt

  604123

• JohnSnowLabs/johnsnowlabs

  Gateway into the John Snow Labs Ecosystem

  Language:Python56172626

• jthomasmock/quarto-reporting

  Example content for Reporting and Presentation webinar

  Language:HTML272013

• PacktPublishing/Forecasting-Time-Series-Data-with-Prophet-Second-Edition

  Forecasting Time Series Data with Prophet- Second Edition, published by Packt

  Language:Jupyter Notebook264110

• docker/docker-nodejs-sample

  A simple Node.js application for the guide in Docker's documentation

  Language:JavaScript2126154

• PacktPublishing/Practical-Real-time-Processing-and-Analytics

  Practical Real-Time Data Processing and Analytics, published by Packt

  Language:Java1212

• PacktPublishing/Practical-Time-Series-Analysis-V-

  Practical Time Series Analysis (V), published by Packt

  Language:Jupyter Notebook129

• PacktPublishing/A-Practical-Approach-to-Timeseries-Forecasting-using-Python

  A Practical Approach to Timeseries Forecasting using Python, published by Packt

  Language:Jupyter Notebook106