Alternatives and similar repositories for deep_learning:

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

• elibol / amle
  Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
  ☆20Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• BenjaminBossan / mink
  A neural network library based on tensorflow and with true sklearn compatibility.
  ☆11Updated 8 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 7 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 9 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
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• udibr / DSB2
  ☆9Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• kyunghyuncho / WordVectorManifold
  ☆15Updated 8 years ago
• zygmuntz / kaggle-cifar
  Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
  ☆44Updated 10 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 8 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• cod3licious / simec-theano
  SimEc code relying on the theano library - check out the simec repo instead for keras based code!
  ☆10Updated 6 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 9 years ago
• jaak-s / nips2014-survey
  Survey of hyperparameter optimization use in NIPS2014
  ☆12Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• ganow / keras-information-dropout
  Keras implementation of the Information Dropout (arXiv:1611.01353) paper
  ☆15Updated 8 years ago