onefishy / am207_fall19_projects
Course projects for AM207 Fall 2019
☆11Updated 5 years ago
Alternatives and similar repositories for am207_fall19_projects:
Users that are interested in am207_fall19_projects are comparing it to the libraries listed below
- Python package for the creation, manipulation, and learning of Causal DAGs☆150Updated last year
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆57Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆89Updated last year
- Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"☆56Updated 6 years ago
- ☆17Updated 3 years ago
- Active learning for optimal intervention design in causal models☆14Updated last year
- ☆20Updated 2 years ago
- ☆32Updated 2 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- ☆58Updated last year
- ACM CHIL 2020: "Survival Cluster Analysis"☆17Updated 4 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆17Updated 7 months ago
- A simulator for single-cell expression data guided by gene regulatory networks☆58Updated 9 months ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 4 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- ☆35Updated 3 months ago
- Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior☆27Updated last month
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 3 years ago
- Notebooks used in scvi-tools tutorials☆51Updated this week
- Code for verifying deep neural feature ansatz☆15Updated last year
- Computational Biology- Spring 2021☆46Updated 3 years ago
- Python code for genetic marker selection using linear programming☆42Updated 10 months ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆37Updated last year
- Transformer Based Embeddings of Wasserstein Distance☆14Updated 3 months ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- Scripts used in the paper "Control of cell state transitions" by Rukhlenko et al.☆15Updated 2 years ago
- Multiscale earth mover's distance methods for tree and manifold structured data☆11Updated last year
- ☆78Updated 11 months ago
- Maximum mean discrepancy comparisons for single cell profiling experiments☆15Updated 3 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆76Updated 3 years ago