Alternatives and similar repositories for nextml

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

• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆229Updated 8 years ago
• tkocisky / oxnn
  ☆134Updated 9 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 10 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 9 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 10 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 10 years ago
• deeplearningparis / dl-machine
  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
  ☆294Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• vitruvianscience / OpenDeep
  Modular & extensible deep learning framework built on Theano.
  ☆210Updated 3 years ago
• mpezeshki / Recurrent-Neural-Networks
  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  ☆92Updated 10 years ago
• siemanko / tf-adversarial
  Adversarial networks in TensorFlow
  ☆173Updated 9 years ago
• unnati-xyz / intro-to-deep-learning-for-nlp
  The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.
  ☆109Updated 9 years ago
• breze-no-salt / breze
  Breze with all the stuff.
  ☆95Updated 9 years ago
• 317070 / kaggle-heart
  ☆157Updated 9 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 10 years ago
• FurongHuang / spectrallda-tensorspark
  Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.
  ☆104Updated 7 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• Ivaylo-Popov / Theano-Lights
  Deep learning research framework based on Theano
  ☆267Updated 10 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• graphific / DL-Meetup-intro
  Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015
  ☆37Updated 10 years ago
• maciejjaskowski / deep-q-learning
  ☆150Updated 9 years ago
• shawntan / theano_toolkit
  Collection of useful, re-used routines.
  ☆45Updated 8 years ago
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆222Updated 9 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆103Updated 7 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 12 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 7 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 9 years ago