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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.
Companion code for predicting returns of delta-neutral portfolio.
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
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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.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
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
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
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。
The Python Code Tutorials
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Jupyter Notebook
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
Computational Fluid Dynamics in JAX
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
Content for the Udemy Prompt Engineering Course
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
A Collection of Google Colab Notebooks for various projects
SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.
Neo4j graph construction from unstructured data using LLMs
Train a Jev-like multimodal model by yourself. System One Model, now with vision.
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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.
Personal quantum-computing experiments with Cirq and Mitiq.
RadixQuantVLA is a unified, Lego-like framework for post-training quantization, benchmarking, and deployment preparation of Vision-Language-Action models, integrating QuantVLA, Omega-QVLA, OpenVLA, UniVLA, StarVLA, GR00T, and Pi0.5 routes with standardized launchers and validation on LIBERO benchmarks.
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.
A collection of Jupyter notebook exercises with instructions and solutions for practicing pandas skills by topic.
Interactive Jupyter-based practice platform with 41 PyTorch problems, such as implementing softmax, attention, and GPT-2 from scratch, with automated grading.
[DEIMv2] Real Time Object Detection Meets DINOv3
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
CatBoost tutorials repository