KrishnaswamyLab / TrajectoryNetLinks
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
☆126Updated last year
Alternatives and similar repositories for TrajectoryNet
Users that are interested in TrajectoryNet are comparing it to the libraries listed below
Sorting:
- PhD Thesis☆36Updated 2 years ago
- ☆32Updated this week
- Supervised Training of Conditional Monge Maps☆19Updated last year
- ☆52Updated 4 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆148Updated 11 months ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- ☆63Updated 2 years ago
- Git Repo for simulating Boolean Models☆36Updated last year
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆22Updated 6 months ago
- Multiscale earth mover's distance methods for tree and manifold structured data☆12Updated 7 months ago
- A simulator for single-cell expression data guided by gene regulatory networks☆68Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆42Updated 2 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆127Updated 8 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 11 months ago
- Graphical modelling with time series data using an ODE model☆11Updated 3 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆57Updated last month
- Modeling complex perturbations with CellFlow☆91Updated last week
- Global Waddington-OT☆24Updated 7 months ago
- Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.☆31Updated 2 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆16Updated last year
- ☆10Updated last year
- Functional and Learnable Cell dynamicS☆19Updated 5 months ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆45Updated 3 years ago
- ☆14Updated 11 months ago
- Transformer Based Embeddings of Wasserstein Distance☆20Updated last month
- Dirichlet Diffusion Score Model for Biological Sequence Generation.☆62Updated 8 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆115Updated last year
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago