BasicProbability / LectureNotesLinks
Lecture Notes (with exercises) for Basic Probability course at University of Amsterdam
☆18Updated 6 years ago
Alternatives and similar repositories for LectureNotes
Users that are interested in LectureNotes are comparing it to the libraries listed below
Sorting:
- ☆24Updated 9 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Repository of models in Pyro☆29Updated 11 months ago
- Lanugage of Thought (LOT) models in Python.☆33Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last month
- Code for the 2-simplicial Transformer paper☆18Updated 5 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Amortized Monte Carlo Integration☆15Updated 5 years ago
- ☆30Updated 3 years ago
- Psych-GA.2207 Categories and Concepts☆16Updated last year
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Notes from Simons Institute program "Foundations of Machine Learning"☆13Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- ☆26Updated 6 years ago