115 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Bayesian optimization in PyTorch | 774K | |
| Spot pseudo-Imager on top of histology | 460K | |
| Deep probabilistic analysis of single-cell and spatial omics data | 77K | |
| Building a single-cell transcriptome-based coordinate system | 49K | |
| The net:cal calibration framework is a Python 3 library for measuring and mitiga... | 41K | |
| A Python package for Bayesian forecasting with object-oriented design and probab... | 31K | |
| SpaMV: An interpretable spatial multi-omics data integration and dimension reduc... | 8K | |
| Generative additive model for single cell perturbation v2 | 6K | |
| Learning multi-omics perturbation language | 6K | |
| Puffing up reinforcement learning | 5K | |
| Puffing up reinforcement learning | 5K | |
| Bayesian IRT models in Python | 4K | |
| Sematic representation learning for single cell perturbation | 3K | |
| An extension of XGBoost to probabilistic modelling | 3K | |
| An extension of LightGBM to probabilistic modelling | 3K | |
| Comprehensive mapping of tissue cell architecture via integrated single cell and... | 2K | |
| Algorithms and tools for Bayesian trajectory modeling | 2K | |
| A multivariate RNA Velocity model to estimate future cell states with uncertaint... | 2K | |
| An experimental language for causal reasoning | 1K | |
| 1K | ||
| CUQIpy plugin for PyTorch | 1K | |
| Graph-linked unified embedding for single-cell multi-omics data integration | 1K | |
| Mutual Information Estimation toolkit based on pytorch | 1K | |
| PIANO: Probabilistic Inference Autoencoder Networks for multi-Omics | 984 | |
| Single-cell multiomics data analysis | 947 | |
| factor models for omics data | 927 | |
| Emulate simulations easily | 878 | |
| Distributed single-cell data analysis. | 828 | |
| SPICE: Sparse and Interpretable Cognitive Equations | 811 | |
| Ancestral sequence reconstruction using a tree structured Ornstein Uhlenbeck var... | 766 | |
| Variational Inference for Cell Type Evolution | 710 | |
| Hierarchical Manifold Approximation and Projection | 686 | |
| 一个非常NB的包 | 641 | |
| High-resolution spectroscopy pipeline | 628 | |
| UNAGI: deep generative AI for virtual disease and unsuperivsed in-silico perturb... | 627 | |
| A package to generate synthetic coding sequences data | 609 | |
| CRISPR guide assignment tool | 554 | |
| Probabilistic factor analysis model with covariate guided factors | 540 | |
| Spatiotemporal modeling of spatial transcriptomics | 488 | |
| CLI suite for benchmarking topic models | 451 | |
| Stochastic Deep Learning for PyTorch | 438 | |
| Python gaussian processes for inference on multi-wavelength light curves | 437 | |
| [BMM 24-25] "Just Relax It": Implementation of different relaxation methods | 404 | |
| Atlas-level data integration in multi-condition single-cell genomics | 395 | |
| Pytorch+GPytorch implementation of GDRFs from San Soucie et al. 2020 | 389 | |
| A benchmarking toolkit for genomic prediction with multiple methods and LLM-powe... | 374 | |
| Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion | 365 | |
| Probabilistic factor analysis model with covariate guided factors | 358 | |
| Single-Cell Genome-Wide Chromatin Accessibility | 350 | |
| Python library based on pytorch for efficiently solving and computing sensitivit... | 348 |
