In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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Translated📚 Building large models from scratch
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
llama3 implementation one matrix multiplication at a time
Natural Language Processing Tutorial for Deep Learning Researchers
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TensorFlow Tutorials with YouTube Videos
My blogs and code for machine learning. http://cnblogs.com/pinard
- machinelearning
- algorithms
- scikit-learn
- reinforcementlearning
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
- neural-network
- python
- pytorch-tutorial
- batch-normalization
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
- llm
- interview-questions
- interview-practice
- agent
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
Toturials coming with the "data science roadmap" picture.
TensorFlow documentation
- tensorflow
- tensorflow-tutorials
- tensorflow-examples
- documentation
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize