gefeiwang

gefeiwang's Stars

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.6k554994.8k

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.4k1386510

• scverse/scanpy

  Single-cell analysis in Python. Scales to >1M cells.

  Language:Python1.9k521.8k599

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.7k1758316

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.5k1925206

• ermongroup/SDEdit

  PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

  Language:Python991232892

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python7071441107

• OmicsML/dance

  DANCE: a deep learning library and benchmark platform for single-cell analysis

  Language:Python34974235

• theislab/scib

  Benchmarking analysis of data integration tools

  Language:Python2981418763

• theislab/kBET

  An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

  Language:HTML15484323

• broadinstitute/wot

  A software package for analyzing snapshots of developmental processes

  Language:Jupyter Notebook139128234

• QuKunLab/SpatialBenchmarking

  Language:Jupyter Notebook10742826

• ermongroup/flow-gan

  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

  Language:Python1069231

• shirleyzhu233/realNVP

  PyTorch implementation of realNVP

  Language:Python835415

• YangLabHKUST/STitch3D

  Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices

  Language:Python534362

• bahjat-kawar/snips_torch

  [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically

  Language:Python50116

• LabForComputationalVision/universal_inverse_problem

  Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli

  Language:Jupyter Notebook505114

• ruiqigao/recovery_likelihood

  Language:Python494814

• YangLabHKUST/MR-APSS

  Mendelian Randomization accounting for Pleiotropy and Sample Structure using genome-wide summary statistics

  Language:R421410

• YangLabHKUST/Portal

  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets

  Language:Python31286

• mback2k/bibword-styles

  NO LONGER MAINTAINED / USED. PLEASE TRY:

  234266

• JiekaiLab/SOT

  Single-cell Orientation Tracing

  Language:R21252

• LieberInstitute/10xPilot_snRNAseq-human

  10x snRNA-seq study on 5 postmortem human brain regions across the reward circuitry: NAc, AMY, sACC, DLPFC, and HPC

  Language:HTML2112129

• zengyi-li/MDSM

  Multiscale de-noising score matching

  Language:Python18202

• YangLabHKUST/XPASS

  Cross-population analysis using GWAS summary statistics

  Language:R17176

• WeiXiongUST/Decentralized-Proximal-Algorithm-with-Variance-Reduction

  This is the code used for the paper "PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction", prepint.

  Language:Python15100

• jhu99/vipcca

  Single-cell alignment

  Language:Python9133

• jiazhao97/Portal-reproducibility

  Codes for reproducing the experiments of the paper "Adversarial domain translation networks enable fast and accurate large-scale atlas-level single-cell data integration".

  Language:HTML5102

• YangLabHKUST/PALM

  Language:Python5110

• statwangz/HSS

  The R package HSS implements two methods LD score regression and XPASS to estimate heritability only using summary statistics data.

  Language:Jupyter Notebook4100