gwulfs / bostonmlLinks
☆116Updated 4 months ago
Alternatives and similar repositories for bostonml
Users that are interested in bostonml are comparing it to the libraries listed below
Sorting:
- Curated list of all dataset websites that I find☆84Updated 6 years ago
- Introduction to Deep Learning for Image Recognition☆152Updated 9 years ago
- DePy 2015 Talk☆117Updated 7 years ago
- Second place solution for Facebook V competition on Kaggle☆77Updated 9 years ago
- PyData, The Complete Works of☆298Updated 8 years ago
- The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.☆109Updated 9 years ago
- Introduction to Deep Learning☆126Updated 9 years ago
- a general purpose learning agent☆210Updated 5 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- ☆263Updated 6 years ago
- ☆160Updated 8 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 6 years ago
- Directory of Jupyter notebooks exploring various topics☆316Updated 8 years ago
- Material for Machine Learning Meetup "Machine Learning with Scikit-learn"☆29Updated 9 years ago
- Deep Learning for Pugs☆74Updated 8 years ago
- Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code☆240Updated 8 years ago
- This is an introduction to tensorflow☆134Updated 9 years ago
- A global, black box optimization engine for real world metric optimization.☆66Updated 10 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- A collection of tutorials on neural networks, using Theano☆223Updated 2 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago
- Example scripts for various deep learning APIs.☆28Updated 10 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
- ☆197Updated 12 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Content for architecting a data science platform for products using Luigi, Spark & Flask.☆163Updated 5 years ago
- Demonstrates data munging, analysis and visualization techniques☆121Updated 9 years ago
- Simple code for trying out TensorFlow with simulated datasets☆171Updated 6 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago