Alternatives and similar repositories for lasagne4newbs:

Users that are interested in lasagne4newbs are comparing it to the libraries listed below

• craffel / simple_spearmint
  Spearmint, without the gum
  ☆42Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• craffel / nntools
  Fork of https://github.com/Lasagne/Lasagne
  ☆63Updated 9 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 7 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• JonathanRaiman / cython_lstm
  LSTM Python library using Cython
  ☆37Updated 10 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• fgerzer / apsis
  ☆25Updated 2 years ago
• harpone / DerpRNN
  Deep Recurrent Neural Networks
  ☆30Updated 8 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• benanne / kaggle-whales
  code for the Whale Detection Challenge competition on Kaggle
  ☆39Updated 11 years ago
• breze-no-salt / breze
  Breze with all the stuff.
  ☆96Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• mbhenaff / spectral-lib
  ☆45Updated 8 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆68Updated 9 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• fabianp / pysofia
  old repository, maintained version is at https://github.com/rth/pysofia
  ☆27Updated 8 years ago
• uoguelph-mlrg / theano_multi_gpu
  ☆34Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• KarenUllrich / Spearmint-TheanoEdition
  Spearmint uses Gaussian Processes to automatically optimize hyper parameter. This is a fork of Spearmint for the deep learning community.…
  ☆11Updated 8 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 8 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 8 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 8 years ago
• arayabrain / SimplestGANBlogpostCode
  Code for the blog post on GAN stability
  ☆10Updated 8 years ago