chengsoonong / digbetaLinks
Active learning for Big Data
☆25Updated 6 years ago
Alternatives and similar repositories for digbeta
Users that are interested in digbeta are comparing it to the libraries listed below
Sorting:
- ☆25Updated 9 years ago
- Social Poisson Factorization☆26Updated 6 years ago
- Gaussian Process Factorization Machines for Context-aware Recommendations☆42Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Deep Learning DTU summer school 2015☆22Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆19Updated 7 years ago
- lecture notes for probabilistic topic models using ipython notebook☆22Updated 10 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 7 years ago
- Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.☆26Updated 9 years ago
- Linear Recommender AAAI-16 code☆21Updated 7 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- Implementations of matrix factorization or tensor factorization algorithms☆32Updated 9 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 8 years ago
- Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk☆38Updated 9 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 5 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- ☆36Updated 10 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 10 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Dionis predictors blender☆10Updated 9 years ago
- Deep NNs for recommendations☆39Updated 9 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Active Learning☆56Updated 10 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009☆11Updated 10 years ago