Chih-Yu Yeh

🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, dashboards, BI and embedded AI. 📈📊📋🧑‍💻

Building a working RISC-V computer from scratch in Zig — emulator, kernel, OS, networking, a tiny text-mode web browser, a real CPython 3.12 port, and a windowed desktop. No Linux. No TLS.

商業與金融基礎知識學習筆記，系統性涵蓋金融體系、物流金流、財務會計、商業策略、行銷品牌、創業治理、總體經濟、投資估值、個體經濟、人力資源、商業法律、數據分析、科技轉型、商業倫理、國際貿易、營運管理、公司金融、談判與商業溝通、領導力與組織行為、產品管理、風險管理、個人財務與理財規劃、專案管理、消費者行為與心理學、供應鏈管理、AI與商業應用、創新管理與設計思考、銷售管理、創業融資與私募股權、行為經濟學與決策科學、定價策略與收益管理、市場研究方法論、顧客關係管理、政府關係與產業政策等三十四大主題。

some interesting agent skills showcase

An AI-powered data analysis agent with a built-in SQL playground. Upload data files (CSV, JSON, Parquet, Excel) and ask questions in plain English — the agent delegates to a specialized subagent for SQL queries and renders charts inline — or switch to the SQL editor for direct queries.

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This repository consists of notes taken from class readings and personal/team-based projects.

Udacity Machine Learning Engineer Nanodegree

Effortlessly migrate your codebase between frameworks with STA (Semantic Transpiler Agent).

A systematic read-through of 99 conference and YouTube talk notes on AI engineering, sorted into 9 thematic categories and distilled into short, skimmable key-point summaries — plus 9 cross-cutting insights drawn from the entire corpus.

Udacity Machine Learning Engineer Nanodegree Capstone Project

tiny torch-like engine implemented in Rust with Python bindings via PyO3 using Cursor agent mode(Opus 4.5, GPT 5.2)

Coursera TensorFlow Specializations

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This repo contains a series of data science courses from Harvard. What's special about these three courses is that the course content is the most complete one I've ever seen.

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Stanford mining of massive datasets course

A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.

This repository contains the data agent code for the DABstep benchmark.

Sutskever 30 implementations inspired by https://papercode.vercel.app/

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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This repository is my notes from reading one of Ruby classic, Eloquent Ruby.

The repo contains twelve hands-on projects to build a modern computer from first principles.

CS221: Artificial Intelligence: Principles and Techniques

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coursera statistics with python speicalization

System Dynamics Modeling and Analysis course from the University of Bergen

This repo contains materials from CMU CS15-122: Principle of Imperative Computation

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Deep Learning (with PyTorch)

Operational scripts for running vLLM serving nvidia/Gemma-4-31B-IT-NVFP4 on an NVIDIA GB10 DGX Spark, wired up to Simon Willison's llm CLI for chat and to codex / claude-code for local coding-agent workflows.

A modern remake of the classic Nokia-era crane-stacking game, built with vanilla HTML5 Canvas.

A side-by-side chart comparing the Nasdaq Composite's performance after Netscape's release (1994-12-19) versus after ChatGPT's release (2022-11-30).

Run Claude Code or Codex against a self-hosted vLLM backend on NVIDIA DGX Spark — Gemma 4 26B accelerated with DFlash block-diffusion speculative decoding.

A single-page visualization of the eight core unit-economics metrics for direct-to-consumer businesses and how they connect.

A browser-based SQL playground powered by DuckDB-WASM

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rust + python binding sample project finished by Opus 4.5 using Cursor agent mode

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Using Streamlit to demo simple code agent using OpenAI Agents SDK and llm-sandbox under the hood.

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Commit0: Library Generation from Scratch

🤗 smolagents: a barebones library for agents that think in code.

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Python SQL Parser and Transpiler

Serverside scaling for Vega and Altair visualizations

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A course on aligning smol models.

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Understand your python codebase effortlessly using natural language

A repository for building local spark cluster.

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Here is an experimentation playground to help me explore various tools related to data systems.

demo app for Knowledge Graph Build with LLM LlamaIndex and NebulaGraph

Stanford DSPy: The framework for programming—not prompting—foundation models

A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

This is the companion repository for the book How Query Engines Work.

Open-source Analytical Data API Framework for data apps. It turns SQL queries into RESTful APIs in no time!

🦆 A curated list of awesome DuckDB resources

Everything that makes working with databases easier

DuckDB is an in-process SQL OLAP Database Management System

Official documentation for the ClickHouse database management system

dbt tutorial using a local PostgreSQL database

A self-contained dbt project for testing purposes

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Persistent/Immutable/Functional data structures for Python

Geospatial Data Science Learning Resources

Free Data Engineering course!

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Cornell machine learning courses

Effective TypeScript: 62 Specific Ways to Improve Your TypeScript

A community-driven repository showcasing examples using Remix 💿

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

500 Lines or Less

just for fun

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TensorFlow's Visualization Toolkit

Where I play and experiment with frontend development tools, thoughts, processes, etc.

The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media

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Demo apps built on Convex.

Free MLOps course from DataTalks.Club

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SvelteKit implementation of the RealWorld app

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Example code for Fluent Python, 2nd edition (O'Reilly 2022)

Example application code for the python architecture book

Practical Python Programming (course by @dabeaz)

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The fastest word game in the west

A very very (very) basic Reddit clone for learning Convex

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An open-source, low-code machine learning library in Python

Deep Learning with Catalyst

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EPI Judge - Preview Release

The main purpose of the app is to allow Python developers navigate Python code base much easier by showing dependencies among files included in the directory with better visualization.

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

Create UIs for your machine learning model in Python in 3 minutes

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A tutorial for using nbdev in Google Colaboratory

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**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

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Source files for the Go language course on zerotomastery.io

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An assignment on creating a minimalist neural network toolkit for CS11-747

A repository of concepts related to neural networks for NLP

Trax — Deep Learning with Clear Code and Speed

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Code Samples from Neural Networks for NLP

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Use React, Redux, Immutable to code Tetris. 🎮

WIP

Next.js Commerce

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Mike North's Production-Grade TypeScript course

A very hands on :open_hands: workshop :computer: about ES6 and beyond.

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The visualization network for pattern relationship in one of software engineering classic, Apprenticeship Patterns.

portfolios

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A collaborative corkboard app

using Tensorflow.js, React to do ImageNet recognition

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Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

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Student submissions for the JavaScript 20 projects

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A basic demo example for integrating between Appwrite & React JS 💙

Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Programming Language Explorations

Comprehensive collection of programming styles using a simple computational task, term frequency

CS 198-077 Blockchain for Developers DeCal Spring 2020: Taught at UC Berkeley during the Spring 2020 semester by the Blockchain at Berkeley Education Department.

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Created with CodeSandbox

My graphs exploration

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High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:

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Repository for "Agent-Based Financial Economics", see http://course.meissereconomics.com

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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This repo contains assignments and lecture code from Coursera Functional Programming Specialization

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A complete computer science study plan to become a software engineer.

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At LinkedIn, we are using this curriculum for onboarding our entry level talents into the SRE role.

what I learned these days

Learning resources for computer vision, especially using deep learning

Notes taken from the book, Python Tricks. Sharpening my Python skills!

The learning resoources and schedule that I would follow in order to have deep foundation knowledge in becoming a machine learning practitioner

Django projects playground

CMU: 10-405/10-605: Machine Learning with Large Datasets(Spring 2020)

Programming puzzles to learn a new programming language.

Coursera cloud computing specialization

Materials for the book: Machine Learning System - Design that Scale

LSDE: Large Scale Data Engineering 2019

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Dart programming exercises from Exercism.

A series of articles about data engineering practices.

Coursera GCP data engineering specialization

AI for medicince specialization on Coursera