Alternatives and similar repositories for deep_learning

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

• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 10 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆83Updated 3 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 5 months ago
• elibol / amle
  Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
  ☆20Updated 8 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆31Updated 10 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• alvarouc / mlp
  Multilayer Perceptron Keras wrapper for sklearn
  ☆69Updated 3 years ago
• dawenl / stochastic_PMF
  Poisson matrix factorization and autotagger
  ☆43Updated 10 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• nukui-s / tffactorization
  Implementations of matrix factorization or tensor factorization algorithms
  ☆32Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 11 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆38Updated 5 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 11 years ago
• Avmb / lowrank-gru
  Gated Recurrent Unit with Low-rank matrix factorization
  ☆34Updated 9 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago