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:
- Example scripts for various deep learning APIs.☆27Updated 10 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 8 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- ☆52Updated 9 years ago
- Predicting happiness from demographics and poll answers☆46Updated 9 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- Algorithm's team Jupyter Notebooks☆113Updated 6 months ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- National Data Science Bowl☆20Updated 10 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 9 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- One hour interactive training for ML with scikit-learn☆73Updated 8 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- ☆66Updated 2 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 8 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- LDA workshop presented by Fast Forward Labs☆15Updated 6 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Curated list of all dataset websites that I find☆83Updated 7 years ago
- ☆28Updated 9 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 7 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 9 years ago
- Introduction to Deep Learning☆126Updated 10 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆114Updated 8 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 11 years ago