drivendataorg / metrics
Useful implementations of metrics for competitions on www.drivendata.org
☆8Updated 7 years ago
Alternatives and similar repositories for metrics:
Users that are interested in metrics are comparing it to the libraries listed below
- Yet another regression toolkit☆12Updated 11 years ago
- ☆25Updated 8 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Updated 7 years ago
- ☆18Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆9Updated 8 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge☆21Updated 7 years ago
- Solution for the Cross-Device linking challenge from CIKM CUP 2016☆24Updated 8 years ago
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- A collections of metrics and loss functions written in Theano.☆14Updated 9 years ago
- Recommendation models that use binary rather than floating point operations at prediction time.☆21Updated 7 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago
- ☆15Updated 9 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- Python integration for Gradientzoo - version and share your trained neural network model weights☆12Updated 8 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 7 years ago
- Quickly create a UI for any python file with a CLI☆17Updated 3 months ago
- Flow-based data pre-processing for deep learning☆31Updated 4 years ago
- Utilities for nolearn.lasagne☆21Updated 7 years ago
- Materials for the course of machine learning at Imperial College organized by YSDA☆23Updated 9 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆10Updated 10 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago