Repositorio principal del curso IIC2233 para el semestre 2026-2
Hands-on Microsoft Fabric Data Science labs (FreshMart churn) with Thai study notes, PySpark/MLflow, and DP-604-aligned learning path.
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
Contenidos para el semestre 2026-2
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Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).
RoPE attention is an exact forward-pass gradient step with softmax intact
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
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En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
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Lab Assignment Files
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Agentic AI Promer
[CoRL 2026] EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
A set of Jupyter notebooks to learn the basics of geological modeling in Python
A practical toolkit for process-level robot evaluation with Process Reward Models (PRMs).
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
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Reproducible CFD-to-scientific-machine-learning experiments
Ноутбук для Гугл коллаба, в котором вы сможете к абсолютно любому медиа добавить субтитры и автоматически их первести на любой язык
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Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
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Operations Research Lab — continuous optimisation models for Management Engineering: lecture notes, Python/Gurobi code, data and case studies (English version)
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
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Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.
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Project 01: Data Cleaning on a Real E-commerce Dataset
De novo Design of Macrocyclic Molecular Glues
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Notebooks and other course materials for Emory DSCI 340 (Fall 2026 - Klein)
PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions
Agentic AI workshop on my YT :D
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PolluSense is an AI-driven pollution monitoring and forecasting system designed to identify pollution sources and predict Air Quality Index (AQI) levels using machine learning and deep learning techniques. The platform integrates real-time air quality data.
One Power BI template for Microsoft Copilot credit consumption and cost - Cowork/Work IQ, Copilot Studio, GitHub Copilot and Azure AI Foundry.
Syllabus BDD 2nd semestre 2026, sección 3
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
A Simple Face Detection and Object Detection Workflow for Images and Real Time Video Streams
Prefix Sliding for efficient test-time scaling
AI大模型学习资料
Taller práctico de Google Agent Development Kit (ADK) con Gemini, MCP y multi-agentes
16-week Python-based Data Structures & Algorithms lab manual for University of Okara (Fall 2026): lab manuals, Colab notebooks, tasks and LeetCode practice.
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VEILINK 六轴机械臂
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Códigos, notebooks e materiais da 1ª Escola de Processamento de Linguagem Natural - EPLN 2026.
Repositório para as aulas da disciplina SSIN0044 - INTRODUÇÃO À CIÊNCIA DE DADOS - T01 (Universidade Federal do Oeste do Pará)
Learn Python from zero, then understand the AI vocabulary behind ChatGPT and Claude: notebooks, whiteboard notes, assignments and a 21-term AI guide.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
CoreNet: A library for training deep neural networks
Neo4j graph construction from unstructured data using LLMs
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T