lightonai / newma
Implementation of NEWMA: a new method for scalable model-free online change-point detection
☆46Updated 4 years ago
Alternatives and similar repositories for newma:
Users that are interested in newma are comparing it to the libraries listed below
- Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.☆20Updated 4 years ago
- Double Trouble in the Double Descent Curve with Optical Processing Units.☆12Updated 2 years ago
- Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)☆16Updated 2 years ago
- Code to perform Model-Free Episodic Control using Aurora OPUs☆17Updated 4 years ago
- ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.☆21Updated last year
- Optical Transfer Learning☆27Updated last year
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- ☆25Updated 4 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Updated 8 years ago
- Fast graph classifier with optical random features☆12Updated 3 years ago
- Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.☆15Updated 3 years ago
- Convex optimization over risk-neutral probabilities.☆15Updated 4 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Recurrent Neural Filters for Time Series Prediction☆24Updated 4 years ago
- ☆18Updated 4 years ago
- ☆32Updated 6 years ago
- This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…☆20Updated 6 years ago
- Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow☆31Updated last year
- Python code for SGMCMC for Time Series SSMs☆12Updated 3 years ago
- Scalable and accurate classifier for time series☆30Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- ☆9Updated 3 years ago
- Distributional Gradient Boosting Machines☆27Updated 2 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- A simple and general framework for signal decomposition☆62Updated last month
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Double Descent Curve with Optical Random Features☆28Updated 2 years ago
- Forecasting library in python☆13Updated 5 years ago