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algorithm-and-leetcode

I listed All the questions that I wrote at least twice in https://seanforfun.github.io/leetcode/. Though all my solutions can be found at leetcode column. I also made my own conclusions about data structure in this repository, all files will be synchronized on my github.io.

ansible-custom-modules-nasa-api

Ansible modules for NASA APIs available at https://api.nasa.gov

ansible_inventory_report

This repo contains an Ansible networking inventory report playbook (inventory.yml). This playbook exports hostname, platform, mgmt0 IP address and code version to a HTML file. The jinja2 template used for the website can also highlight the version of code if it doesn't match a desired version.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cs-learning

Roadmap to learn Computer Science/Machine Learning/Data Science

jupyter-ai

A generative AI extension for JupyterLab

langkit-whylabs-llm-mon

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

leetcode_dailychallenge_2023

LeetCode Daily Challenge Solutions

llm-app

LLM App is a production framework for building and serving AI applications and LLM-enabled real-time data pipelines.

llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

mycode-instructor-solutions

Network - Ansible Lab

network-automation-scripts_python3

Network automation using various python modules in Python3

networkautomation

python

Python Scripts

whylogs-llm-monitoring

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈