joanbruna / ir18
Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
☆62Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for ir18
- ☆30Updated 6 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- ☆78Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- DS-GA-1005 Inference and Representation☆14Updated 7 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆43Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆47Updated 3 months ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 9 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆66Updated 5 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 5 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 6 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆85Updated 6 years ago
- ☆29Updated 7 years ago
- ☆62Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Experiments in Bayesian Machine Learning☆68Updated 5 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆109Updated 7 years ago