[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
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[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
A library of generic data structures for the C language.
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
A playground to explore Next.js features such as nested layouts, instant loading states, streaming, and component level data fetching.
The repository host gives no description.
Cookbook for JavaScript for Automation in Mac OS X Yosemite
A book about Rust Data Structures and Algorithms.
Algorithms and Data Structures implemented in TypeScript for beginners, following best practices.
Open Content for self-directed learning in data science
A list of publicly available datasets with real-time data maintained by the team at bytewax.io
Data Engineering Practice Problems
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
系统性的 PHP 技术面试问答大全(面经)。涵盖 PHP8、MySQL、Redis、Nginx、系统设计、算法、Laravel 源码及高并发架构原理,助你斩获后端研发 Offer。PHP Interview Questions & Answers.
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
This repository contains a detailed sample app that implements MVVM architecture using Dagger2, Room, RxJava2, FastAndroidNetworking and PlaceholderView
Papers and Datasets about Point Cloud.
General Resources for Competitive Programming
This repository aims to hold suggestions (and hopefully/eventually code) for CTF challenges. The "project" is nicknamed Katana.
本项目为量化开源课程,可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
A collection of powerful data structures
Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
Matplotlib 3.1 cheat sheet.