This repo contains the algorithms from various websites. and detailed notes about the data structures and algorithms and Preparation Manual to crack any coding interview including working professionals.
存放学习笔记、写过的博客等~
A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, RAG, agents, fine-tuning, and modern tooling.
My personal solutions on LeetCode! :D
This repository contains Jupyter notebooks and code exercises based on Think Complexity by Allen B. Downey. The book dives into the field of complexity science through Python programming, offering hands-on experience with models of complex systems.
This project is an end-to-end example of the transition from a simple "ML Pipeline" (Jupyter Notebook) demo to a "Production-Level ML System", based on the principles of the Modern ML Engineer Manifesto. The project's goal is to build a packaged (Docker) and clean (audited with pre-commit) API capable of serving multiple models.
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