Training and Pretraining
The mysterious process where the parameters of an LLM are produced.
Read moreI'm learning machine learning, writing it down, and building things along the way.
Take a look aroundThis site brings together my machine-learning notes and basketball projects. Ideas is where I explain things as I learn them, in Chinese and English, with code and examples you can try.
What I'm learning, in my own words. Code, explanations, and the occasional detour.
The mysterious process where the parameters of an LLM are produced.
Read moreRead a single note, or follow a thread through the notebook. Every chapter keeps its Chinese and English versions.
Arrays, tables, text, and plots. Get comfortable with the tools before moving on to models.
Decision trees, regression, and gradient descent, followed by practical experiments with Scikit-Learn.
Follow the Transformer chapters, then get hands-on with PyTorch and deep learning.
The other side of this website: exploring the game through video, player profiles, and software.
A video-analysis project built around player tracking and evidence clips. Still in private beta, and a coaching experiment rather than an official scouting tool.
Explore the analyzerExplore player profiles, read scouting notes, and compare prospects. A separate space for a closer look at the players.
Open the draft boardBasketball, code, and the experiments in between.
🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Basketball game AI analyzer with YOLO, pose tracking, and OCR timeline generation.
Data-driven basketball weakness analyzer with video shot tracking, webcam recording, and stat benchmarks.
An AI-based basketball tool with multiple functions to help players improve.
A question, a project idea, or just a hello.
A question about a note, an idea for a project, or just a hello. I would love to hear from you.
Leave a message here and I will reply to your email address.