gravitino / cudadtwLinks
GPU-Suite
☆86Updated 9 years ago
Alternatives and similar repositories for cudadtw
Users that are interested in cudadtw are comparing it to the libraries listed below
Sorting:
- Dynamic Time Warping in C and Python☆36Updated 8 years ago
- Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)☆120Updated 6 years ago
- cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs☆31Updated 5 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆93Updated 2 years ago
- ☆74Updated 6 years ago
- A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.☆26Updated 6 years ago
- A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.☆72Updated 2 years ago
- ☆98Updated 7 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Randomized Dimension Reduction Library☆116Updated 4 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆94Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!☆22Updated 8 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆141Updated 8 years ago
- Semi-Supervised t-SNE using a Bayesian prior based on partial labelling☆42Updated 9 years ago
- Generate stochastic processes using Python. Unfortunately not maintained any longer =(☆111Updated 10 years ago
- Distributed NMF/NTF Library☆47Updated 9 months ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Official Source-Code of the Modular toolkit for Data Processing (MDP)☆91Updated 9 months ago
- An open source time series library for Python implementing Matrix Profile☆23Updated 7 years ago
- Building random forests on GPU☆204Updated 8 years ago
- ☆29Updated 8 years ago
- A collection of computationally efficient algorithms for online subspace learning and principal component analysis☆41Updated 7 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Optimized Dynamic Programming (Dynamic Time Warp) as a Python external☆78Updated 10 years ago
- Convenient hyperparameter optimization☆14Updated last year
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- Extreme Learning Machine - C++ library☆33Updated 10 years ago
- A python wrapper for the PROPACK library☆51Updated 8 years ago