fabianp / hoag
Hyperparameter optimization with approximate gradient
☆66Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for hoag
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 7 years ago
- DrMAD☆108Updated 6 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆204Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- MPI for Torch☆61Updated 7 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆107Updated 7 years ago
- ☆64Updated 7 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Proceedings of ICML 2018☆39Updated last year
- ☆9Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- ☆64Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 8 years ago
- ☆34Updated 9 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 12 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Gradient-based optimization algorithms in Python☆49Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 8 years ago