Official repo for the #tidytuesday project

A simple Python 3 CLI to read your Things app data.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

SL(1): Cure your bad habit of mistyping

Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.

A WebGL Spotify visualizer made with Vue, D3, and Three.js.

A scheduled Python script that scrapes new song titles and builds 🔥 playlists through the Spotify API

Feature exploration for supervised learning

Examples of how to create colorful, annotated equations in Latex using Tikz.

🍓 Jam is your own open source Clubhouse for mini conferences, friends, communities

Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.

projectM - Cross-platform Music Visualization Library. Open-source and Milkdrop-compatible.

Handwriting Synthesis with RNNs ✏️

Data sets created for stories on The Pudding, open to the public.

☁️ Build multimodal AI applications with cloud-native stack

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🍦 Never use print() to debug again.

Practical cheat sheets

Material for learning and practicing the technique of multi-objective optimisation

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

Mac-style shortcut keys for Linux & Windows.

Investment Research for Everyone, Everywhere.

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

A cat(1) clone with wings.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations

Please use fastbook's /clean folder instead of this

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT