Lordog / dive-into-llms
Chinese-language hands-on programming tutorial series on large language models, covering fine-tuning, prompting, editing, watermarking, jailbreaks, and agents.
Lordog / dive-into-llms
microsoft / generative-ai-for-beginners
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
microsoft / ai-agents-for-beginners
An 18-lesson beginner course with code samples on building AI agents using Microsoft's agent frameworks and services.
HandsOnLLM / Hands-On-Large-Language-Models
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
anthropics / claude-cookbooks
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
DataTalksClub / data-engineering-zoomcamp
A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
xiaolai / the-craft-of-selfteaching
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
Liquid4All / cookbook
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
The-Art-of-Hacking / h4cker
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
ed-donner / llm_engineering
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
higgsfield-ai / higgsfield
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
NirDiamant / agents-towards-production
Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
pyannote / pyannote-audio
Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.
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 👇🏼
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
hoochanlon / hamuleite
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
GiovanniPasq / agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
GoogleCloudPlatform / generative-ai
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
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.
genieincodebottle / generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
AnswerDotAI / llms-txt
The /llms.txt file, helping language models use your website
shap / shap
Python library that computes Shapley-value explanations for the predictions of any machine learning model.
wesm / pydata-book
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
AllenDowney / ThinkPython
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
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.
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
petrobras / 3W
Timely detections for more proactive and effective actions in offshore oil wells!
explaindb / explaindb
A Database System built for Understandability
google / flax
Flax is a neural network library for JAX that is designed for flexibility.
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Nixtla / nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
MAIF / shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
apache / hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
cksystemsteaching / selfie
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
EvgSkv / logica
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
stanfordmlgroup / ngboost
Natural Gradient Boosting for Probabilistic Prediction
Ramakm / AI-Engineering
A group of notebooks and other files which can help you learn AI from scratch.
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
DataDog / toto
Time-Series-Optimized Transformer for Observability
baselkelziye / YTU_Bilgisayar_Muhendisligi_Arsiv
Yıldız Teknik Üniversitesi Bilgisayar Mühendisliği Bölüme Lisans ve Yüksek Lisansa Dair Genel Bilgiler, Ders Notları, Ders slaytları, Örnek Proje. Burada Staj, Erasmus, Yaz Okulu, KOOP gibi Kavramların Süreçlerini ve Detaylarını bulabilirsiniz.
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
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 👇
bragai / bRAG-langchain
Everything you need to know to build your own RAG application
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Xilinx / PYNQ
Python Productivity for ZYNQ
ilmoi / MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
elastic / elastic-labs
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
buildfastwithai / gen-ai-experiments
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
ncbi / datasets
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
Nicolepcx / harness_engineering
This is the corresponding code for the O'Reilly book: Harness Engineering
TaroYamada08 / Hacker
This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
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.