fabianp / overview_optalgs
☆28Updated 4 years ago
Related projects: ⓘ
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆43Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated last year
- Open access book on variational Bayesian methods written collaboratively☆28Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆69Updated 8 years ago
- ☆12Updated 7 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 6 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 5 years ago
- Experiments in Bayesian Machine Learning☆67Updated 5 years ago
- Exponential Machines implementation☆39Updated 7 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 9 years ago
- Simple structured learning framework for python☆37Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- A Python Tour of Data Science☆29Updated 6 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 7 years ago
- Variational Fourier Features☆81Updated 3 years ago
- ☆32Updated 6 years ago
- Library of common tools for machine learning research.☆40Updated 6 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Gaussian Process optimization algorithm for Hyperopt☆23Updated 10 years ago
- ☆36Updated this week
- Edward content including papers, posters, and talks☆90Updated 3 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆69Updated 5 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆47Updated last month