Crack LeetCode, not only how, but also why.
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Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
📜 33 JavaScript concepts every developer should know.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TranslatedThe place where 冴羽 (Yu Saeba, "Saeba Yu") writes his blog; he plans to write four series: an in-depth JavaScript series, a JavaScript topics series, an ES6 series, and a React series.
- blog
- javascript
- advanced
A playbook for systematically maximizing the performance of deep learning models.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
45+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script and Claude Code running itself in a container. Also includes the dx plugin: skills for everyday dev workflows.
- agentic
- agentic-ai
- agentic-coding
- agentic-workflow
How to systematically secure anything: a repository about security engineering
- security-engineering
- security-architecture
- secure-systems
- threat-modeling
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A collection of machine learning examples and tutorials.
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog
- postgresql
- greenplum
- enterprisedb
- database
The repository host gives no description.
- burst
- multicore-processors
- ecs
- entity
Docker - Beginners | Intermediate | Advanced
- docker
- beginners
- intermediate
- advance
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.