TranslatedTutorial on building a chatbot yourself
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Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
- agent
- aigc
- coze
- dify
Ultimate Python study guide 🐍 🐍 🐍
- python
- python3
- study
- programming-language
AI companions with memory: a lightweight stack to create and host your own AI companions
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Kubernetes clusters for the hobbyist.
Video+code lecture on building nanoGPT from scratch
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A technical explainer by @kognise of how your computer runs programs, from start to finish.
- cpu
- elf
- linux
- linux-kernel
TranslatedBig data analysis project
- python
- sql
- hql
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
The repo contains the source code for all the tutorials on the FilledStacks Youtube channel.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
- gpt-3
- prompting
- prompt-engineering
- gpt3
TranslatedA beginner's bible for AI that doesn't play at being obscure or cater to a niche few, easy to grasp for everyone from students to engineers. It covers neural networks to large models, top-level design to micro-level principles, and engineering implementation to algorithm fundamentals. After studying it, you will thoroughly understand why the seemingly unremarkable ability of next-token prediction can change the world, and you will also discover that AI is not as mysterious or as unattainable as imagined. Let's just beat it !
- ai
- engineering
- llm
- neural-network
TranslatedA collection of hands-on Spring Boot series tutorials
- java
- spring-boot
- springboot
- springframework
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Translated:honeybee: IoT Technical Guide --- Building a high-performance IoT platform and IoT solutions from scratch, and source code analysis of Thingsboard :sparkles: :sparkles: :sparkles: (IoT Platform, SaaS, MQTT, CoAP, HTTP, Modbus, OPC, WebSocket, Thing Model, Protobuf, PostgreSQL, MongoDB, Spring Security, OAuth2, RuleEngine, Kafka, Docker)
:earth_americas: Simple and ready-to-use tutorials for TensorFlow