Alternatives and similar repositories for akid:

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

• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• open-machine-learning / mloss
  Machine Learning Open Source Software
  ☆23Updated 6 years ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• M-Flash / m-flash-cpp
  ☆15Updated 7 years ago
• jaanli / deep-exponential-families-gluon
  Deep exponential family models in MXNet/Gluon. Layers o' latents 💤
  ☆17Updated 7 years ago
• wulfebw / LittlePlaNet-Models
  models trained to identify locations based on images
  ☆19Updated 8 years ago
• fgerzer / apsis
  ☆25Updated 2 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆30Updated 7 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 9 years ago
• ChrisRackauckas / TBEEF
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Updated 9 years ago
• eidonfiloi / SparseRecurrentNetwork
  ☆10Updated 9 years ago
• briangu / chord
  distributed word2vec in Chapel using adagrad
  ☆16Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• tboquet / python-alp
  a machine learning platform for teams
  ☆19Updated 7 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• andreyboytsov / LION-tSNE
  LION-tSNE (Local Interpolation with Outlier detectioN). Extension of TSNE algorithm to incorporate new and changed data.
  ☆13Updated 7 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago