fastforwardlabs / probabilistic-programming-from-scratchLinks
Notebook version of an article on the Fast Forward Labs blog
☆60Updated 8 years ago
Alternatives and similar repositories for probabilistic-programming-from-scratch
Users that are interested in probabilistic-programming-from-scratch are comparing it to the libraries listed below
Sorting:
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- Example scripts for various deep learning APIs.☆28Updated 10 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- ☆52Updated 9 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- ☆66Updated 2 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- All Kaggle competitions☆91Updated 9 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago
- ☆28Updated 9 years ago
- Introduction to Deep Learning for Image Recognition☆152Updated 9 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 9 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- A global, black box optimization engine for real world metric optimization.☆66Updated 10 years ago
- Curated list of all dataset websites that I find☆83Updated 7 years ago
- Algorithm's team Jupyter Notebooks☆113Updated 4 months ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Introduction to Deep Learning☆126Updated 9 years ago
- Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism…☆166Updated 5 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- Repository for exploratory data transformation & visualization talk☆27Updated 9 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago