jhumphry / regressionsLinks
A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression
☆23Updated 5 months ago
Alternatives and similar repositories for regressions
Users that are interested in regressions are comparing it to the libraries listed below
Sorting:
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Structured Machine Learning in Python☆46Updated 2 years ago
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆22Updated 7 years ago
- Information Theoretic Tools for Python☆95Updated 6 years ago
- ☆42Updated 11 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Python implementation of elastic-net regularized generalized linear models☆286Updated 2 years ago
- Initial attempt to incorporate some time-series analysis features from hctsa into python land☆28Updated 9 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Python Time Series Analysis (PTSA, pronounced "pizza")☆42Updated 8 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Timeseries analysis for neuroscience data☆255Updated 2 weeks ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Delay embedding for time series modeling and classification☆18Updated 8 years ago
- ☆99Updated 7 years ago
- Generalized Transfer Entropy analysis for model-free network reconstruction.☆30Updated 5 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle☆97Updated 9 years ago
- Randomized Dimension Reduction Library☆118Updated 4 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 10 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆230Updated last year
- Keras for Science☆72Updated 7 years ago
- Preconditioned ICA for Real Data☆115Updated 2 weeks ago
- ☆14Updated 7 years ago
- Variational Bayes linear and logistic regression☆35Updated 6 years ago