Genentech / dcdfgLinks
☆25Updated 2 years ago
Alternatives and similar repositories for dcdfg
Users that are interested in dcdfg are comparing it to the libraries listed below
Sorting:
- ☆44Updated last month
- ☆63Updated last year
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆75Updated this week
- Latent spaces for single cells☆21Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆55Updated last year
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- ☆30Updated 3 years ago
- ☆27Updated last week
- ☆76Updated 3 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated 11 months ago
- Learning disentangled representations of single-cell data for high-quality generation☆16Updated last year
- ☆11Updated last year
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 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…☆39Updated 2 years ago
- ☆19Updated 2 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆72Updated last year
- A simulator for single-cell expression data guided by gene regulatory networks☆63Updated last year
- Archetypal Analysis network (AAnet)☆34Updated 5 months ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Stable Differentiable Causal Discovery (SDCD)☆22Updated last year
- Git Repo for simulating Boolean Models☆35Updated last year
- federated learning with tabular learning☆20Updated 4 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Contrastive neighbor embeddings☆54Updated 4 months ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks☆28Updated 2 months ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆37Updated 7 months ago
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆73Updated last year
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆121Updated 10 months ago