ogreyesp / JCLALLinks
JCLAL is a general purpose framework developed in Java for Active Learning.
☆23Updated 7 years ago
Alternatives and similar repositories for JCLAL
Users that are interested in JCLAL are comparing it to the libraries listed below
Sorting:
- A Java Toolbox for Scalable Probabilistic Machine Learning☆120Updated last year
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Active learning for Big Data☆25Updated 6 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Material for the MASH course on introduction to scikit-learn☆16Updated 8 years ago
- ADMM Logistic Regression implemented in Spark☆32Updated 11 years ago
- ☆30Updated 7 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 weeks ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Continuous-time Markov model with discrete observations☆24Updated 2 years ago
- Julia translation for David Barber's Bayesian Reasoning and Machine Learning MATLAB toolbox☆15Updated 9 years ago
- Active Learning☆56Updated 10 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- RapidMiner Extension for Anomaly Detection☆94Updated 6 years ago
- Topological Anomaly Detection (TAD) per Gartley and Basener 2009☆69Updated 5 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- SAX-VSM public release, visit our website for detail☆92Updated 3 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- A package for dealing with crowdsourced big data. Website: https://enriquegrodrigo.github.io/spark-crowd/☆64Updated 6 years ago
- Interpretable ML package designed to explain any machine learning model.☆61Updated 6 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- active learning in python☆35Updated 8 years ago
- ☆46Updated 11 years ago
- Change Point detection python☆40Updated 2 years ago