Alternatives and similar repositories for NonlinearComponentAnalysis

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

• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 5 years ago
• ASPP / ASPP-2018-dataviz
  Material for the Advanced Scientific Programming in Python course on data visualization
  ☆17Updated 6 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• markmbaum / orthopoly
  Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics
  ☆9Updated last year
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆21Updated 6 years ago
• davidhallac / NetworkADMM
  ☆9Updated 10 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 6 years ago
• raghakot / demystifying-convnets
  Collection of notebooks exploring conv nets in detail.
  ☆10Updated 7 years ago
• QueensGambit / PGM-Causal-Reasoning
  Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship
  ☆9Updated 6 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• christophmark / bayesianfridge
  Sequential Monte Carlo sampler for PyMC2 models.
  ☆13Updated 7 years ago
• rougier / Scipy-Bordeaux-2017
  Course taught at the University of Bordeaux in the academic year 2017 for PhD students.
  ☆17Updated 8 years ago
• stephenbeckr / time-series-class
  MATH/STAT 4540/5540 Introduction to Time Series, spring 2022
  ☆9Updated 2 years ago
• LeeSmithSBCC / Jupyter-Math-For-Nerds
  Quick reference for using Sympy and Jupyter to quickly solve college math
  ☆9Updated 6 years ago
• jesserobertson / pydym
  Dynamic mode decomposition in Python
  ☆13Updated 9 years ago
• informatics-lab / probabilistic-programming
  Notebooks for probabilistic programming
  ☆21Updated 5 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated this week
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• HIPS / DESI-MCMC
  MCMC for the Dark Energy Spectroscopic Instrument
  ☆13Updated 9 years ago
• ska-sa / scikits.fitting
  ☆14Updated last year
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago
• deborausujono / crfocr
  Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)
  ☆7Updated 10 years ago
• patrickwalls / math210
  An introduction to scientific computing in Python
  ☆11Updated 7 years ago
• chengsoonong / acton
  Active Learning: Predictors, Recommenders and Labellers
  ☆20Updated 2 years ago
• mdh266 / RandomForests
  Random Forest Library In Python Compatible with Scikit-Learn
  ☆14Updated 3 years ago