yyou1996

yyou1996's Stars

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.9k81514391

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.3k1758104

• scverse/scvi-tools

  Deep probabilistic analysis of single-cell and spatial omics data

  Language:Python1.3k261k356

• Cimbali/pympress

  Pympress is a simple yet powerful PDF reader designed for dual-screen presentations

  Language:Python1.2k1923489

• bowang-lab/scGPT

  Language:Jupyter Notebook1.1k34236207

• theislab/scvelo

  RNA Velocity generalized through dynamical modeling

  Language:Python41913800103

• chembl/chembl_webresource_client

  Official Python client for accessing ChEMBL API

  Language:Python3793211394

• amirgholami/adahessian

  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

  Language:Python266103049

• jhpoelen/zenodo-upload

  upload big files to Zenodo using cURL, jq and bash

  Language:Shell23551139

• facebookresearch/CPA

  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

  Language:Jupyter Notebook177141148

• cmap/cmapPy

  Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

  Language:Python126275676

• bunnech/cellot

  Learning Single-Cell Perturbation Responses using Neural Optimal Transport

  Language:Python11834112

• sanderlab/scPerturb

  scPerturb: A resource and a python/R tool for single-cell perturbation data

  Language:Jupyter Notebook1095286

• theislab/chemCPA

  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

  Language:Jupyter Notebook10559924

• davda54/ada-hessian

  Easy-to-use AdaHessian optimizer (PyTorch)

  Language:Python777615

• velocyto-team/velocyto-notebooks

  Language:Jupyter Notebook5571931

• thomasmaxwellnorman/Perturbseq_GI

  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"

  Language:Jupyter Notebook491222

• cmap/lincs-workshop-2020

  CMap Notebooks for LINCS 2020 Workshop

  Language:Jupyter Notebook457120

• ghliu/DeepGSB

  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral

  Language:Python45211

• welch-lab/PerturbNet

  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation

  Language:Jupyter Notebook292410

• TianrongChen/DMSB

  Official implementation of Deep Momentum Schrödinger Bridge

  Language:Python20211

• douglasyao/FR-Perturb

  Factorize-Recover for Perturb-seq analysis (FR-Perturb)

  Language:Python19153

• JialongJiang/DSPIN

  Code and example of the D-SPIN framework

  Language:Python14112

• Teichlab/limbcellatlas

  This repository contains codes used for the human fetal limb cell atlas.

  Language:Jupyter Notebook13832

• IBM/aligned_diffusion_bridges

  Aligned Diffusion Schroedinger Bridges (UAI 2023)

  Language:Jupyter Notebook12503

• kosekijkk/raman2rna

  Raman2RNA code base.

  Language:Jupyter Notebook11121

• XC-NCTR/AnimalGAN

  A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology Assessment

  Language:Python6223

• srose89/Perturb-map

  Language:R5200

• ermongroup/pestat

  Keep pestat great

  Language:Shell370

• cole-trapnell-lab/sci-Plex-GxE

  Repository of analysis code for sci-Plex-GxE analysis

  Language:R2301