NVIDIA / rapidAlignerLinks
Windowed alignment of time series at the speed of light
☆29Updated 4 years ago
Alternatives and similar repositories for rapidAligner
Users that are interested in rapidAligner are comparing it to the libraries listed below
Sorting:
- GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.☆40Updated 8 months ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆80Updated 2 years ago
- A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.☆103Updated 8 months ago
- tutorial for mcfly repository☆79Updated 2 years ago
- ☆51Updated last year
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆237Updated 7 months ago
- Python Kalman filters vectorized as Single Instruction, Multiple Data☆189Updated 2 years ago
- xi correlation method adapted for python☆150Updated 3 years ago
- A Python library for time series subsequence search.☆48Updated last year
- GPU-Suite☆86Updated 9 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆97Updated last year
- The fastest way to compute matrix profiles on CPU and GPU!☆191Updated last year
- Semantic segmentation models for multivariate time series using PyTorch and Ignite☆19Updated 2 years ago
- A simple and general framework for signal decomposition☆74Updated last year
- Linear memory CUDA Time Warp Edit Distance☆30Updated 3 years ago
- Fast and modular sklearn replacement for generalized linear models☆191Updated 4 months ago
- MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z…☆106Updated 3 years ago
- A simple Python implementation of R-PCA☆252Updated last month
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆161Updated last year
- ☆28Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago
- Process hexagonally sampled data with PyTorch☆98Updated 4 years ago
- Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.☆67Updated last year
- Synthetic Data Generation for mixed-type, multivariate time series.☆120Updated this week
- A Python Wrapper for the Inform Information Analysis Library☆56Updated 6 years ago
- An open-source library of algorithms to analyse time series in GPU and CPU.☆238Updated 4 years ago
- Code for: "A Generalised Signature Method for Time Series"☆65Updated 2 years ago
- Koolmogorov is a Python library based on CompLearn☆70Updated 8 years ago
- Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated last year