Dienofail's Stars
locuslab/qpth
A fast and differentiable QP solver for PyTorch.
clinicalml/structuredinference
Structured Inference Networks for Nonlinear State Space Models
ipython-contrib/jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
tensorflow/transform
Input pipeline framework
ghwatson/faststyle
Tensorflow implementation of fast neural style transfer.
christikaes/VirtuallyAGenome
shekkizh/WassersteinGAN.tensorflow
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
ferrine/gelato
Bayesian dessert for Lasagne
martinarjovsky/WassersteinGAN
drasmuss/hessianfree
Hessian-free optimization for deep networks
pricingassistant/mrq
Mr. Queue - A distributed worker task queue in Python using Redis & gevent
czheo/syntax_sugar_python
A library adding some anti-Pythonic syntatic sugar to Python
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
carlthome/tensorflow-convlstm-cell
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
maxwshen/iap-appbml
Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)
zhongwen/predictron
Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
HyperGAN/HyperGAN
Composable GAN framework with api and user interface
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
google-deepmind/learning-to-learn
Learning to Learn in TensorFlow
tensorflow/skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
KarenUllrich/Spearmint-TheanoEdition
Spearmint uses Gaussian Processes to automatically optimize hyper parameter. This is a fork of Spearmint for the deep learning community. More specifically, it provides support for Theano users.
petered/plato
A library built on top of Theano. TUTORIAL:
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Kyubyong/numpy_exercises
Numpy exercises.
WillBrennan/DigitClassifier
A Convolutional Deep Neural Network Using Theano for MNIST (0.6% Error)
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
probprog/bopp
BOPP: Bayesian Optimization for Probabilistic Programs
liviu-/notebooks
Directory of Jupyter notebooks exploring various topics