babaks / Lectures
This repository includes my lecture notes for some of the courses I have been teaching at UC Irvine. I will keep updating them over time.
☆13Updated 3 years ago
Alternatives and similar repositories for Lectures:
Users that are interested in Lectures are comparing it to the libraries listed below
- Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…☆13Updated 4 years ago
- Implementation of Selective Clustering Annotated using Modes of Projections☆10Updated 4 years ago
- ☆29Updated 5 years ago
- Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology☆32Updated last month
- ☆21Updated 5 years ago
- Applied Statistics for High-Throughput Biology☆16Updated 8 months ago
- notes from my 302 class on Bayesian methods and principles of statistics☆27Updated 3 years ago
- ☆12Updated 7 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- ☆19Updated 3 years ago
- ☆11Updated 7 years ago
- Tensor Switching Networks☆12Updated 7 years ago
- Selecting features as (network) nodes☆11Updated 6 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated this week
- Random feature latent variable models in Python☆22Updated last year
- 天津医科大学，生物医学工程与技术学院，《Perl语言编程》课程资料☆22Updated 2 years ago
- Bayesian Multitask Multiple Kernel Learning☆18Updated 7 years ago
- An algorithm for classification from a graph-sparse support☆15Updated 6 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆18Updated 2 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- ☆21Updated 8 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- Developing efficient Bayesian phylogenetic inference methods☆11Updated 5 years ago
- Fork of cma-es library by Nikolaus Hansen☆11Updated 7 years ago
- Branching Gaussian process☆28Updated last year
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Network inference by fusing data from diverse distributions☆14Updated 8 years ago
- The art of using t-SNE for single-cell transcriptomics☆122Updated 4 months ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆30Updated 4 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago