《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
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AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!
Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
The interactive graphing library for Python :sparkles:
A curated list of awesome mathematics resources
Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord: https://discord.gg/ejRNvftDp9
100 numpy exercises (with solutions)
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
Collect your thoughts and notes without leaving the command line.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
📚 Parameterize, execute, and analyze notebooks
Voilà turns Jupyter notebooks into standalone web applications