Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Ready-to-run Docker images containing Jupyter applications

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

Repository to store sample python programs for python learning

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Collection of notebooks about quantitative finance, with interactive python code.

Create delightful software with Jupyter Notebooks

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Interactive Widgets for the Jupyter Notebook

An API Client package to access the APIs for NBA.com

The fast.ai course notebooks

Try out deep learning models online on Google Colab

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Multiplatform plotting library based on the Grammar of Graphics

Collection of google colaboratory notebooks for fast and easy experiments

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.

A reactive Python kernel for Jupyter notebooks.