Democratizing Artificial Intelligence Research, Education, and Technologies
69
公共仓库
157,411
总星标
9,499
关注者
DAIR.AI在GitHub上拥有众多公共存储库，专注于民主化人工智能研究和教育。其主要编程语言包括Jupyter Notebook、Python和TypeScript，著名的存储库如Prompt-Engineering-Guide和ml-visuals，提供了丰富的资源和工具，促进了AI领域的学习与发展。
顶级语言
公共仓库
Prompt-Engineering-Guide
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
AI-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
ML-Papers-Explained
Explanation to key concepts in ML
ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
ML-Notebooks
:fire: Machine Learning Notebooks
Transformers-Recipe
🧠 A study guide to learn about Transformers
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
MLOPs-Primer
A collection of resources to learn about MLOPs.
AI-Product-Index
A curated index to track AI-powered products.
pytorch_notebooks
🔥 A collection of PyTorch notebooks for learning and practicing deep learning
d2l-study-group
🧠 Material for the Deep Learning Study Group
nlp_fundamentals
📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP
nlp_newsletter
📰Natural language processing (NLP) newsletter
dair-academy-plugins
DAIR.AI Academy Plugins
awesome-ML-projects-guide
A guide to building awesome machine learning projects.
dair-ai.github.io
Home of DAIR.AI
emotion_dataset
:smile: Dataset for Emotion Recognition Research
m2-deep-research
Deep research agents using MiniMax M2.1 interleaved thinking
awesome-research-proposals-guide
A guide to improve your research proposals.
ml-nlp-paper-discussions
📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.
keep-learning-ml
A club to keep learning about ML
dair-workshops
此仓库未提供描述。
nlp_overview
📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
notebooks
🔬 Sharing your data science notebooks with the community has never been this easy.
deep-ai-research
Claude agent for Deep AI Research
covid_19_search_application
Text Similarity Search Application using Modern NLP and Elasticsearch
maven-pe-for-llms-4
Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects
odsc_2020_nlp
Repository for ODSC talk related to Deep Learning NLP
deep-research-n8n
Deploy a mult-agent deep research agent with Replit and n8n
research_emotion_analysis
:smile: Multilingual emotion analysis research
llm-evaluator
Example for Logging LLM Evaluator Prompt Responses
data_science_writing_primer
Writing Primer for Data Scientists
nlp_highlights
✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)
pe-for-llms
此仓库未提供描述。
datasets
AI Datasets
maven-pe-for-llms
此仓库未提供描述。
paper_implementations
A project for implementing ML and NLP papers
cursor-course
此仓库未提供描述。
deep_learning_notations
➕Contains useful deep learning notations for writing blogs, presentations, and papers.
maven-pe-for-llms-6
Materials for the Prompt Engineering for LLMs (Cohort 6)
cursor-final-project
Final project for the Cursor course
maven-pe-for-llms-8
Materials for the Prompt Engineering for LLMs (Cohort 8)
nlp_with_tensorflow
NLP tutorials I have written using TensorFlow
maven-pe-for-llms-12
Course material for Prompt Engineering for LLMs
maven-pe-for-llms-11
Materials for the Prompt Engineering for LLMs Course (Cohort 11)
maven-pe-for-llms-13
Materials for the Prompt Engineering for LLMs (Cohort 13)
maven-pe-for-llms-9
Materials for Prompt Engineering for LLMs (Cohort 9)
maven-pe-for-llms-7
Code, Demos, and Exercises for Prompt Engineering for LLMs Course
deep-research-agent
此仓库未提供描述。
cc-cohort-3
此仓库未提供描述。
comet-llm
comet llm support
deep_affective_layer
:smile: Building a deep learning based affective computing platform
paper_presentations
All paper presentation material will be added here
mri-analysis-pytorch
🧠MRI analysis using PyTorch and MedicalTorch
deep-research-initial-project
此仓库未提供描述。
.github
此仓库未提供描述。
maven-pe-for-llms-10
Materials for Cohort 10
maven-pe-for-llms-2
此仓库未提供描述。
dair-cc-plugins
DAIR.AI Claude Code Plugins
text-embeddings
此仓库未提供描述。
appworks_meetup_2018
Contains all the material used for the "Applied Deep Learning for NLP Using PyTorch" meetup at AppWorks
wiki-sft
此仓库未提供描述。
dr-agent
此仓库未提供描述。
claude-code-course-c1
此仓库未提供描述。
helsinki_ml
Machine Learning in the Elastic Stack
常见问题
dair-ai在GitHub上构建了什么？
dair-ai在GitHub上构建了一系列与人工智能相关的项目，包括Prompt-Engineering-Guide和ml-visuals等，涵盖了提示工程、机器学习视觉和在线课程等领域，旨在促进知识共享和技术传播。
dair-ai使用哪些编程语言？
dair-ai的公共存储库主要使用Jupyter Notebook、Python和TypeScript等编程语言。这些语言支持其在数据科学和机器学习方面的广泛应用，帮助用户更好地理解和应用AI技术。
dair-ai的存储库是公开的吗？
是的，dair-ai的存储库都是公开的，任何人都可以访问和使用这些资源。这种开放性有助于促进学术研究和技术的民主化，支持更广泛的AI教育和应用。