Alternatives and similar repositories for cudadtw

Users that are interested in cudadtw are comparing it to the libraries listed below

• asbschmidt / cuDTW
  cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs
  ☆28Updated 5 years ago
• klon / ucrdtw
  Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)
  ☆120Updated 6 years ago
• halachkin / cdtw
  Dynamic Time Warping in C and Python
  ☆36Updated 7 years ago
• nodrogluap / OpenDBA
  GPU-accelerated Dynamic Time Warp (DTW) Barycenter Averaging
  ☆67Updated 9 months ago
• trigeorgis / DCTW
  ☆29Updated 8 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• andymiller / pydtw
  A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
  ☆26Updated 6 years ago
• ebattenberg / nmf-cuda
  A CUDA implementation of non-negative matrix factorization for GPUs.
  ☆34Updated 7 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• georgedimitriadis / t_sne_bhcuda
  An extension of the barnes-hut t-sne by Laurens van der Maaten using cuda
  ☆26Updated 7 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆44Updated 2 years ago
• cscotta / fastdtw
  A version of Stan Salvador and Philip Chan's "FastDTW" dynamic time warping implementation modified for use as a library in production ap…
  ☆33Updated 13 years ago
• jlowin / pyautodiff
  Automatic differentiation for NumPy
  ☆99Updated 10 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• 4QuantOSS / sge_spark
  The configuration and scripts for using spark within a Sun Grid Engine environment
  ☆24Updated 10 years ago
• chuan / chmm
  CUDA implementation of hidden Markov model training and classification
  ☆31Updated last month
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• nschloe / betterspy
  Visualization for SciPy sparse matrices.
  ☆41Updated 4 years ago
• synapticarbors / khash_numba
  Proof-of-concept of using a khash-based hashmap in Numba
  ☆21Updated 7 years ago
• michaelnowotny / cocos
  Numeric and scientific computing on GPUs for Python with a NumPy-like API
  ☆93Updated 3 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆90Updated 2 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• EasonLiao / CudaTree
  Building random forests on GPU
  ☆206Updated 8 years ago
• nickgeoca / cwt-tensorflow
  Continuous wavelet transform (CWT) in tensorflow
  ☆55Updated 6 years ago
• flatironinstitute / online_psp
  A collection of computationally efficient algorithms for online subspace learning and principal component analysis
  ☆41Updated 6 years ago
• braingineer / ikelos
  a keras toolkit
  ☆35Updated 8 years ago
• viennacl / pyviennacl-dev
  Developer repository for PyViennaCL. Visit http://viennacl.sourceforge.net/ for latest releases.
  ☆32Updated 9 years ago
• jiapingz / shapeDTW
  A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time se…
  ☆95Updated 9 years ago