Translated📚 Building large models from scratch
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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.
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Toturials coming with the "data science roadmap" picture.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Translatedpandas tutorial in Chinese
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.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
TranslatedNeeding only a Python foundation, build large language models from scratch; build GLM4\Llama3\RWKV6 step by step from scratch, to gain a deep understanding of how large models work
标注自己的数据集,训练、评估、测试、部署自己的人工智能算法
Jupyter notebooks from the scikit-learn video series
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
小型金融知识图谱构建流程(neo4j / python / cypher / KG)
- cypher
- data-analysis
- graph-database
- neo4j
HuggingLLM, Hugging Future.
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management