misterwindupbird / IBOLinks
Interactive Bayesian Optimization
☆23Updated 8 years ago
Alternatives and similar repositories for IBO
Users that are interested in IBO are comparing it to the libraries listed below
Sorting:
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.☆80Updated 5 years ago
- an active learning framework in python☆45Updated 9 years ago
- ☆46Updated 11 years ago
- Sample code for generative recurrent autoencoders.☆26Updated 8 years ago
- ☆25Updated 3 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated 2 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- Bidirectional Helmholtz Machines☆40Updated 9 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Structure learning for sparse graphs with latent variables☆44Updated 8 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 4 months ago
- Implementation of the VRAE☆60Updated 4 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 10 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- A library built on top of Theano. TUTORIAL:☆39Updated 7 years ago
- Future Gadget Machine☆68Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago