RKMyst

RKMyst's Stars

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k781

• aliaamohamedali/Algorithms

  A few books and resources for data Structures and Algorithms.

  12828

• tohweizhong/pdf-dump

  A dump of all the data science materials (mostly pdf's) that I have accumulated over the years

  331167

• linux08/machine-learning-books

  312165

• Azure/ResourceModules

  This repository includes a CI platform for and collection of mature and curated Bicep modules. The platform supports both ARM and Bicep and can be leveraged using GitHub actions as well as Azure DevOps pipelines.

  Language:PowerShell727454

• Azure/azure-quickstart-templates

  Azure Quickstart Templates

  Language:Bicep14.1k16.2k

• Azure/azure-powershell

  Microsoft Azure PowerShell

  Language:C#4.3k3.9k

• google/googletest

  GoogleTest - Google Testing and Mocking Framework

  Language:C++35.2k10.2k

• daveshap/OpenAI_Agent_Swarm

  HAAS = Hierarchical Autonomous Agent Swarm - "Resistance is futile!"

  Language:Python3.1k395

• githubnext/monaspace

  An innovative superfamily of fonts for code

  Language:TypeScript14.7k251

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35.5k6.2k

• openai/openai-python

  The official Python library for the OpenAI API

  Language:Python23.9k3.4k

• StockSharp/StockSharp

  Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

  Language:C#7.5k1.8k

• OpenBB-finance/uptime

  📈 Uptime monitor and status page for OpenBB, powered by @upptime

  Language:Markdown85

• subashgandyer/datasets

  Language:Perl515

• yogeshwaran-shanmuganathan/Airline-Passenger-Satisfaction

  Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

  Language:Jupyter Notebook2513

• Apress/pro-deep-learning-tensorflow2

  Source Code for 'Pro Deep Learning with TensorFlow 2.0' by Santanu Pattanayak

  Language:Jupyter Notebook169

• aniruddhachoudhury/Data-Science-Books

  Complete end to end Datascience Books for various Application

  21076