PipelineAI / notebooks
Sample Notebooks for PipelineAI
☆44Updated 2 years ago
Alternatives and similar repositories for notebooks:
Users that are interested in notebooks are comparing it to the libraries listed below
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- Sample Models for PipelineAI☆44Updated 2 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 6 years ago
- My exhaustive repo of free deep learning resources☆50Updated 7 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 3 months ago
- Slides and materials for most of my talks by year☆92Updated last year
- Performance Benchmarks☆21Updated 3 months ago
- Article for Special Edition of Information: Machine Learning with Python☆13Updated last month
- Tutorial repo for the article "ML in Production"☆30Updated 2 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 2 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 8 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 6 years ago
- Material for UW Extension Data Science 350☆19Updated 7 years ago
- ☆10Updated 6 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆36Updated 4 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment☆30Updated 5 years ago
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Updated 8 years ago
- ☆59Updated 3 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 5 years ago
- ☆19Updated 3 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 6 years ago
- ☆26Updated last year
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing☆33Updated 7 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆45Updated 3 months ago
- Posts, presentations and papers I've written.☆40Updated 4 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Data☆20Updated 7 years ago