fastai / randomized-SVD
demos for PyBay talk: Using Randomness to make code faster
☆51Updated 7 years ago
Alternatives and similar repositories for randomized-SVD:
Users that are interested in randomized-SVD are comparing it to the libraries listed below
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Helpers for constructing scikit-learn grid search☆38Updated 5 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- ☆15Updated 6 years ago
- ☆15Updated 2 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- Show how to perform fast retraining with LightGBM in different business cases☆54Updated 5 years ago
- ☆28Updated 7 years ago
- Kaggle competition results☆20Updated 6 years ago
- Simple validator for submissions to DrivenData competitions☆19Updated 5 years ago
- State management framework for Data Science & Analytics☆19Updated 5 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning☆55Updated 5 years ago
- ☆25Updated 8 years ago
- ☆89Updated 6 years ago
- Bayesian statistics seminars☆30Updated 7 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Updated 7 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 8 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 2 months ago
- Repository for thuijskens.github.io☆11Updated 2 years ago
- LDA workshop presented by Fast Forward Labs☆15Updated 5 years ago
- Slides and coding demo for word2vec☆12Updated 8 years ago