jenazhao

@jenazhao

万物静观皆自得,四时佳兴与人同。

Python
Java
644735344@qq.com

组织

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所有 个人的 我参与的
Forks 暂停/关闭的

    jenazhao/Human-GEM

    The generic genome-scale metabolic model of Homo sapiens

    jenazhao/UNAGI

    Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases.

    jenazhao/cline-chinese

    Cline中文汉化版,Cline是一款在您的 IDE 中运行的自主编程助手,经您许可后可以创建/编辑文件、运行命令、使用浏览器等功能。

    jenazhao/PaddleOCR

    Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

    jenazhao/models

    Trained caffe models

    jenazhao/transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    jenazhao/ScreenProcessing

    jenazhao/gnina

    A deep learning framework for molecular docking

    jenazhao/mindspore

    MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

    jenazhao/Suite

    Open Systems Pharmacology Suite Setup

    jenazhao/OSP-Qualification-Reports

    Qualification Reports recreated with every new OSP Release

    jenazhao/scPerturb

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

    jenazhao/PK-Sim

    PK-Sim® is a comprehensive software tool for whole-body physiologically based pharmacokinetic modeling

    jenazhao/gromacs

    Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.

    jenazhao/nicheformer

    Repository for Nicheformer: a foundation model for single-cell and spatial omics

    jenazhao/ColabFold

    Making Protein folding accessible to all!

    jenazhao/bigg_models

    The BiGG Models website server

    jenazhao/PERCEPTION

    Utilizing single-cell omics from patients tumor to predict response and resistance.

    jenazhao/scFoundation

    jenazhao/ai-app-lab

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