soumith / nextmlLinks
☆35Updated 10 years ago
Alternatives and similar repositories for nextml
Users that are interested in nextml are comparing it to the libraries listed below
Sorting:
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆228Updated 7 years ago
- ☆132Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 9 years ago
- ☆58Updated 9 years ago
- National Data Science Bowl☆20Updated 10 years ago
- ☆36Updated 10 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆91Updated 10 years ago
- Breze with all the stuff.☆96Updated 8 years ago
- Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015☆37Updated 10 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 9 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Second place solution for Facebook V competition on Kaggle☆77Updated 9 years ago
- ☆157Updated 9 years ago
- Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning☆296Updated 9 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Modular & extensible deep learning framework built on Theano.☆210Updated 2 years ago
- Adversarial networks in TensorFlow☆172Updated 8 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆219Updated 9 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Deep learning research framework based on Theano☆267Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- ☆15Updated 9 years ago
- The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.☆108Updated 9 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆105Updated 7 years ago