alirezadir / AIMLInterviews
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
alirezadir / AIMLInterviews
Liquid4All / cookbook
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
pyannote / pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
NVIDIA-NeMo / Nemotron
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
microsoft / ai-agents-for-beginners
18 Lessons to Get Started Building AI Agents
openai / openai-cookbook
Examples and guides for using the OpenAI API
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
NirDiamant / agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
mahmoud / awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
google-gemini / cookbook
Examples and guides for using the Gemini API
microsoft / mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
NVIDIA / cosmos
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
DataTalksClub / llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
HugoBlox / hugo-theme-academic-cv
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇
py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
GiovanniPasq / agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
bragai / bRAG-langchain
Everything you need to know to build your own RAG application
google-gemma / cookbook
A collection of guides and examples for the Gemma open models from Google.
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
FurkanGozukara / Stable-Diffusion
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
microsoft / edgeai-for-beginners
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
benman1 / generative_ai_with_langchain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
numerai / example-scripts
A collection of scripts and notebooks to help you get started quickly.
craffel / pretty-midi
Utility functions for handling MIDI data in a nice/intuitive way.
google / jax-cfd
Computational Fluid Dynamics in JAX
luisguiserrano / manning
Repository for the book Grokking Machine Learning, by Manning Editors
joreilly / BikeShare
SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence
buildfastwithai / gen-ai-experiments
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
rolling-panda-san / notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
towardsai / ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
Isi-dev / Google-Colab_Notebooks
A Collection of Google Colab Notebooks for various projects
AnswerDotAI / MonsterUI
MonsterUI is a FastHTML Tailwind-powered UI framework for building beautiful web interfaces with minimal code.
terrier-org / pyterrier
A Python framework for performing information retrieval experiments, building on http://terrier.org/
microsoft / Dynamics-365-FastTrack-Implementation-Assets
Dynamics 365 FastTrack Implementation guides
xbsheng / atguigu-note
AI 课程笔记：langchain / langgraph / python / vibe coding
Akun-python / autumn-recruitment
Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
explaindb / explaindb
A Database System built for Understandability
Yunfan-Wang / Scalable-Agentic-Market-Simulator
SAMS - Scalable Agentic Market Simulator, a next gen AI finance automation paradigm, suitable for high frequency scenario while built for continuous learning and more sophisticated market simulation.
mahmoodlab / CORAL
Spatial biology processing suite
FareedKhan-dev / agentic-knowledge-graph
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
Prasannajaga / deployment-guide
Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).
imdigitalashish / gpt-from-scratch
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
LAPI-UNAM / quinta_escuela_de_computo_cuantico
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
Harrypatria / Agentic-AI-Masterclass-Handbook-Usecases-Convergeni
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
inclusionAI / ling-cookbook
Guide, document and practical tips for getting the most out of the Ling model series.
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
StudyBuildCommunity / studybuild-customer-analysis-02
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
StudyBuildCommunity / studybuild-data-cleaning-01
Project 01: Data Cleaning on a Real E-commerce Dataset
ZhanbotaErlan / US-Kazakhstan-Stock-Analysis
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
mayank953 / python-ai-crash-course
Learn Python from zero, then understand the AI vocabulary behind ChatGPT and Claude: notebooks, whiteboard notes, assignments and a 21-term AI guide.