KrishnaswamyLab / TrajectoryNetLinks
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
☆123Updated 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☆35Updated last year
- ☆27Updated last week
- Supervised Training of Conditional Monge Maps☆18Updated last year
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆75Updated last year
- ☆45Updated 2 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆143Updated 9 months ago
- ☆63Updated 2 years ago
- Multiscale earth mover's distance methods for tree and manifold structured data☆11Updated 5 months ago
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated 4 months ago
- Git Repo for simulating Boolean Models☆35Updated last year
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 8 months ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆55Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆55Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- ☆13Updated 9 months ago
- A simulator for single-cell expression data guided by gene regulatory networks☆63Updated last year
- ☆10Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆123Updated 6 months ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- ☆26Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆41Updated 2 years ago
- ☆19Updated 2 years ago
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆16Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆179Updated last year
- Global Waddington-OT☆24Updated 5 months ago
- ☆77Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago