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

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

Multiplatform plotting library based on the Grammar of Graphics

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。

Collection of google colaboratory notebooks for fast and easy experiments

A reactive Python kernel for Jupyter notebooks.

Project page for "The Fuzzing Book"

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)