Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
Repository Index
47,133 repositories indexed
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Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Translated📚 Building large models from scratch
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
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.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
💻 Vibe Coding 101｜Your First Course For AI Product Builders.
- ai
- course
- vibe-coding
- coding
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
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
- adr
- documentation
- teamwork
- architecture-decision-record
A neural network that transforms a design mock-up into a static website.
- keras
- deep-learning
- seq2seq
- encoder-decoder
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Microservice Architecture with Spring Boot, Spring Cloud and Docker
- spring-boot
- spring-cloud
- microservices
- docker