RuiShu / tensorflow-gpLinks
Implementation of gaussian processes and bayesian optimization in tensorflow
☆10Updated 9 years ago
Alternatives and similar repositories for tensorflow-gp
Users that are interested in tensorflow-gp are comparing it to the libraries listed below
Sorting:
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 9 years ago
- ☆51Updated 3 years ago
- ☆90Updated 8 years ago
- DrMAD☆107Updated 8 years ago
- ☆77Updated 9 years ago
- Generative Adversarial Networks with Keras☆157Updated 5 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Updated 10 years ago
- ☆69Updated 7 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago
- Estimate road layout attributes given street view imagery☆29Updated 8 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Recurrent Flow Network for Occupancy Flow☆29Updated 9 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- Neural network training using iterated projections.☆90Updated 9 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆58Updated 10 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆172Updated 8 years ago
- Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf☆168Updated 8 years ago
- Large scale detection through adaptation☆47Updated 6 years ago
- Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"☆114Updated 10 years ago
- What My Deep Model Doesn't Know...☆118Updated 10 years ago
- TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks☆119Updated 8 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆151Updated last year
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago