Machine Learning · GitHub

a cross-platform image super-resolution tool

Personal notes on Andrew Ng's machine learning course

This project applies machine learning techniques in Python to analyze data, visualize feature relationships, and perform classification using models such as Decision Tree and Support Vector Machine. Model performance is evaluated through confusion matrices and graphical analysis.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Latex code for making neural networks diagrams

A simple, high-quality voice conversion tool focused on ease of use and performance.

基于深度强化学习的开源自动因子工厂。

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

《推荐系统：工业架构与核心算法》AI Native 书稿｜章节 PDF、知识地图与本地学习 Agent， 网址：https://jhljx.github.io/RecSys-Industrial-Book/

🐍 Geometric Computer Vision Library for Spatial AI

NBA sports betting using machine learning

• Moneyline and totals predictions (XGBoost and Neural Net models).
• Expected value calculation and optional Kelly Criterion sizing.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Local AI photo scoring, culling, and gallery — score, organise, and explore your library with face recognition and semantic search. No cloud, no subscriptions.

A collaboration friendly studio for NeRFs

• Visualize training in real-time + interact with the scene
• Create and render out scenes with custom camera trajectories

CUDA Templates and Python DSLs for High-Performance Linear Algebra

A Python framework for GPU-accelerated simulation, robotics, and machine learning.