We use a modified neural network instead of Gaussian process for Bayesian optimization.
☆108Jun 15, 2017Updated 8 years ago
Alternatives and similar repositories for nn-bayesian-optimization
Users that are interested in nn-bayesian-optimization are comparing it to the libraries listed below
Sorting:
- Variational Bayes for NN in Torch7 (http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks.pdf)☆10Mar 23, 2015Updated 10 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 2017Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Feb 29, 2016Updated 10 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Jul 26, 2016Updated 9 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Apr 30, 2019Updated 6 years ago
- Classification uncertainty using Bayesian neural networks☆33Jun 28, 2016Updated 9 years ago
- Code repository for Ensemble Bayesian Optimization☆57Jul 18, 2019Updated 6 years ago
- Bayesian neural network package☆156Jul 6, 2021Updated 4 years ago
- Deep variational inference in tensorflow☆57May 5, 2018Updated 7 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Jul 21, 2017Updated 8 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Aug 1, 2018Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84May 29, 2017Updated 8 years ago
- An implementation of zoneout regularizer on LSTM-RNN by Tensorflow☆24Apr 28, 2017Updated 8 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Nov 23, 2017Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Dec 7, 2016Updated 9 years ago
- ☆11Mar 30, 2016Updated 9 years ago
- ☆11Sep 15, 2015Updated 10 years ago
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Oct 3, 2023Updated 2 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆49Feb 26, 2016Updated 10 years ago
- Implementation of gaussian processes and bayesian optimization in tensorflow☆10Feb 14, 2016Updated 10 years ago
- hacking torch-like neural networks in Julia☆11Jan 29, 2015Updated 11 years ago
- Scalable GP Adapter for Time Series Classification☆13Aug 29, 2017Updated 8 years ago
- Bidirectional (Symmetrical) Deep Neural Networks☆25Feb 9, 2017Updated 9 years ago
- Neural-based Noise Filtering from Word Embeddings☆11Apr 29, 2017Updated 8 years ago
- Repository for the paper "Adversarial Variational Optimization of Non-Differentiable Simulators"☆16Dec 17, 2018Updated 7 years ago
- Implementation of Variational Intrinsic Control in tensorflow☆11Apr 5, 2017Updated 8 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Nov 27, 2018Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Dec 1, 2019Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Jul 20, 2018Updated 7 years ago
- Variational Recurrent Auto Encoder☆15Jul 10, 2016Updated 9 years ago
- Benchmark of different RL algorithm☆13Dec 8, 2022Updated 3 years ago
- Trains machine learning strategies for the IPD with evolutionary and particle swarm algorithms, including neural networks and finite stat…☆15Oct 28, 2019Updated 6 years ago
- ☆12Dec 20, 2019Updated 6 years ago
- nngraph for more complex structures☆25Jul 6, 2016Updated 9 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Mar 20, 2018Updated 7 years ago
- This is an attempt to familiarize myself with PyTorch. In this example, the target to generate a sequence of continuous data (sine waves …☆15Dec 26, 2017Updated 8 years ago