knathanieltucker / deep-learning-building-blocksLinks
☆33Updated 2 years ago
Alternatives and similar repositories for deep-learning-building-blocks
Users that are interested in deep-learning-building-blocks are comparing it to the libraries listed below
Sorting:
- Tutorial given at PyData LA 2018☆97Updated last year
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆128Updated 4 years ago
- ☆101Updated 7 years ago
- ☆63Updated last year
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- ☆98Updated 6 years ago
- ☆39Updated 8 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆155Updated 4 years ago
- ☆11Updated last year
- ☆91Updated 5 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 4 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- ☆32Updated last year
- ☆110Updated 9 years ago
- Jeff Heaton's Kaggle Utilities☆281Updated 5 years ago
- ☆85Updated 7 years ago
- ☆77Updated 6 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago