A Jittor implementation of Conditional GAN (CGAN)

• 多后端支持
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    • > 2023年07月05日，v4.3 版本发布 ：
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    • > 2023年04月18日，v4.2.1 版本发布 ：
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    • 修复:
    • > 2022年12月14日，v4.1.0 版本发布 ：
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• intergraph: Coercion Routines for Network Data Objects
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  • odseq: Outlier detection in multiple sequence alignment (Bioconductor package)
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• MetaNeighbor: a method to rapidly assess cell type identity using both functional and random gene sets
• Introduction
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• CRISPRko design
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• ncdfFlow: A package that provides HDF5 based storage for cytometry data.
  • INSTALLATION
  • Unix/Linux/Mac users
  • Create ncdfFlowSet object
  • Use it as the same way as flowSet (except it is memory efficient and fast)
• ">Abstract
  • Features:
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• pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data
  • Software status
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    • 🔧 手动环境部署
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  • 具体功能介绍
    • 1. 命名实体识别NER
    • 2. 关系抽取RE
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• 赛题题目：面向开源操作系统的的大语言模型PD分离容器化推理系统设计与优化（高校赛题）
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• ">biocroxytest
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• Quantiprot
  • current version: 0.2.4
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• rMATS turbo v4.3.0
  • About
  • Table of contents
  • Dependencies
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      • Starting with BAM files
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• r.proxy
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  • latent factor mixed models: lfmm
  • Installation
• MultiBaC R package repository
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  • Citation
• decOM: Similarity-based microbial source tracking of ancient oral samples using k-mer-based methods
  • System requirements
  • Installation
  • Before running decOM
  • Test
    • Single sink
    • Several sinks
  • Output files
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    • Single sink
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  • Additional features
    • aOralOut:
    • MST:
    • LOO:
  • Command line options
• Introduction
  • Install
• Quick start
  • Cell-type proportion deconvolution
  • Cross-source cell-type proportion deconvolution
  • Integrative analysis
    • Comparison to PCA
  • Feature filtering
  • csQTL analysis
• Licenses of the analysis methods
• Palabos
  • How to cite Palabos
• Installation
  • Linux Prerequisites
    • For Debian based distributions
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  • Linux optional prerequisites
    • For Debian based distributions
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  • Windows Prerequisites
    • For Visual Studio 2019
  • The installation steps
• Compile an example
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• Contributors
• crupR - Short Description
  • Installation
  • Contact
  • Citation
  • crupR Overview
    • Getting started
      • What will I need?
      • Prepare the metaData file
    • Run the crupR pipeline
      • Step 0: Normalize the ChIPseq counts
      • Step 1: Predict active enhancers with crupR
      • Step 1.5: Find enhancer peaks and super enhancers with crupR
      • Step 2: Find conditon-specific enhancer clusters
        • Visualization of the clusters using plotSummary()
      • Step 3: Find target genes of the condition-specific enhancer clusters
        • Gene expression counts
        • Running getTargets()
      • Exporting the files
• mefa: multivariate data handling in ecology and biogeography
  • Versions
  • Report a problem
  • References
  • MarkerMAG: linking MAGs with 16S rRNA marker genes using paired-end short reads
  • Publication
  • Updates
  • MarkerMAG modules
  • How to install
  • How to run
  • Output files
• DNAbarcodes
  • Simple generator of DNA barcodes for sequencing experiments
  • Dependencies
  • Usage
• README
  • History
  • Dependencies
  • Build
  • Usage
  • Click here to view a Shiny application integrating most features of NGLVieweR.
  • Description
  • Installation
  • Basics
  • Functionality
• Microbiome Explorer
  • An R package for the analysis and visualization of microbial communities.
  • To install and run Shiny app:
  • Introduction
  • Data upload
    • Microbiome Explorer accepts several different data upload formats
    • Accessing example data via metagenomeSeq
  • Data QC
  • Analysis
    • Intra-Sample Analysis
    • Intra-Feature Analysis
    • Inter-Sample Analysis
    • Correlation
    • Differential abundance
    • Longitudinal
  • Reports
• nnSVG
  • Overview
  • Installation
  • Tutorial
  • Input data format
  • Example workflow
  • Citation
• XSD2Code - 通用XSD到多语言代码转换工具 v3.1.3 (增强版)
  • 📊 项目状态
  • 🚀 快速特性一览
  • 🎯 核心价值
  • 🎉 最新更新 (v3.1)
    • ✨ 新增功能
    • 🔧 技术改进
  • 主要功能
    • 核心特性
    • 🆕 XSD约束支持详情
      • WhiteSpace 处理
      • 长度约束
      • 模式匹配
      • 固定值约束
    • 多语言代码生成
  • 安装
    • 📦 多种安装方式
      • 🚀 从源码构建 (推荐)
      • 📥 直接下载二进制文件
      • 🔧 使用Go Install
      • 📋 系统要求
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  • 生成的代码示例
    • Go代码示例
    • Java代码示例
    • C#代码示例
  • 特性详解
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      • 字符串约束
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      • 其他约束
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  • 支持的XSD特性
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    • 开发环境设置
  • 许可证
  • 更新日志
    • v3.1 (2025-06-02)
    • v3.0
  • 📈 项目统计
    • 🏆 质量徽章
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    • 🎯 社区
  • 📚 文档和Wiki
  • 支持和反馈
  • 🤝 贡献者
  • 💬 社区和联系
  • ⭐ 支持项目
  • 📊 项目里程碑
• mitch
  • Installation
  • Workflow overview
    • Importing gene sets
    • Importing profiling data
    • Calculating enrichment
    • Generate a HTML report
    • Generate high resolution plots
    • Network plot
    • scRNA-seq
    • Infinium DNA methylation data
    • Contrbutions
• Rvisdiff
• Install
• Usage
• BSDA
  • Version 1.2.2
• 
  • Alan T. Arnholt
  • Installation
• json-c
  • JSON-C - A JSON implementation in C
  • Getting Help
  • Building on Unix with git, gcc and cmake
    • Prerequisites:
    • Install using apt (e.g. Ubuntu 16.04.2 LTS)
    • Build instructions:
    • Generating documentation with Doxygen:
  • CMake Options
    • Building with partial threading support
    • cmake-configure wrapper script
  • Testing:
  • Building on Unix and Windows with vcpkg
  • Building for Android
  • Linking to libjson-c
  • Using json-c
• SalmID
  • Requirements:
  • Installation:
  • Todo’s and thoughts for future releases:
• Background
• Funding
• License
• Building libjpeg-turbo
• Using libjpeg-turbo
  • Colorspace Extensions
  • libjpeg v7 and v8 API/ABI Emulation
    • Support for libjpeg v7 and v8 Features
      • Fully supported
      • Not supported
    • What About libjpeg v9?
  • In-Memory Source/Destination Managers
• Mathematical Compatibility
• Performance Pitfalls
  • Restart Markers
  • Fast Integer Forward DCT at High Quality Levels
• Memory Debugger Pitfalls
• README
  • Installation
    • From PyPI
    • From Conda
    • From Github
  • Usage
  • Examples
    • Overlap analysis
    • Active Module Identification (AMI)
    • Random Walk with Restart (RWR)
    • Other functions
      • Network and bipartite creation
      • Network downloading
• CellNOptR
  • Installation:
    • Standard installation from Bioconductor
    • Installation from GitHub
    • Install from a local copy of the package:
  • Feedbacks, bug reports, features
  • Code of Conduct
• DeePaC-vir
• DeePaC
  • Installation
    • With Bioconda (recommended)
    • With Docker (also recommended)
    • With pip
  • Usage
  • Supplementary data and scripts
  • Cite us
  • 特点
  • 更多文档
  • 从源代码编译
  • 运行
  • 部署在K8s
  • 使用Categraf无缝代替Prometheus抓取数据
  • 插件
  • 致谢
• methyLImp2
  • Installation
  • Vignette
• ZIFA
  • Citation
  • Instructions
  • Installation
  • Sample usage
  • 特点
  • 更多文档
  • 从源代码编译
  • 运行
  • 部署在K8s
  • 使用Categraf无缝代替Prometheus抓取数据
  • 插件
  • 致谢
• Basenji
  • Sequential regulatory activity predictions with deep convolutional neural networks.
  • Basset successor
• Akita
  • 3D genome folding predictions with deep convolutional neural networks.
• Saluki
  • mRNA half-life predictions with a hybrid convolutional and recurrent deep neural network.
  • Installation
  • Manuscripts
  • Documentation
  • Tutorials
• metaFun : pipeline for metagenomic data analysis
• Quick Start
  • Installation
    • If you have mamba, you can install metaFun with mamba
    • Download databases
    • Run analysis
• Documentation 📖
• metaFun pipeline flowchart
  • Support & Contact
  • 📚 Citation
• MOODS 1.9.4
  • Download
  • Usage
  • Contact
  • Licensing
• Introduction
• MsFeatures - Functionality for Mass Spectrometry Features
• Installation
• Contributions
  • 系统模块
• R interface to Keras
  • Installing
  • Run Primer3
  • Read the complete Primer3 manual
• installation
• Agent_Runtime
• support
  • Getting started
    • install dependence
    • build demo with bash followed
    • run demo
    • Using environment variables to implement functions
    • Description of formats related to label files, configuration files, and model files
    • Python Support
• Code+ 8 决赛
  • 题目使用协议
    • Quick start
    • Introduction
    • Citation:
    • Parameters
    • Running with docker
    • Building ngmlr from source
    • Building ngmlr for linux with docker
    • NGMLR progress information
    • Datasets used in the mansucript:
• ">fishpond
  • Fishpond: downstream methods and tools for expression data
  • Quick start
  • How does Swish work
  • Installation
  • Funding
• MiRNATarget (aka psRNATarget_command_line)
  • Installation
  • Usage
  • Options
  • Note on G:U pairs
  • Citation
• Yellowbrick
  • What is Yellowbrick?
  • Installing Yellowbrick
  • Using Yellowbrick
    • Feature Visualization
    • Model Visualization
  • Contributing to Yellowbrick
  • Yellowbrick Datasets
  • Citing Yellowbrick
  • Affiliations
• Control-FREEC
  • ceRNAnetsim
  • Installation
  • Example
  • Local Files
  • Vignettes
  • Issues
• qpgraph: Estimate gene and eQTL networks from high-throughput expression and genotyping assays
  • Installation
  • Questions, bug reports and issues
  • Contributing
  • Funding
• cython-setuptools
  • Installation
  • Usage
• 第十二届“麒麟杯”全国开源应用软件开发大赛
  • 赛题联系人：
  • 赛题汇总：
    • 桌面功能增强
      • 系统驱动管理模块
      • 桌面高级锁屏模块
      • 视觉障碍辅助工具
      • 无线投屏工具
    • 应用开发
      • 磁盘监控工具
      • 磁盘加密工具
      • 换机克隆工具
      • 桌面管理工具
    • 工具开发
      • 文件签章和打印控制模块
      • 系统安全分析工具
      • 系统软件包问题分析工具
      • 安全c库函数开发
      • 桌面主题DIY工具
      • 手写笔记软件
    • 系统基础功能
      • 基于wayland的系统图形合成器
      • 桌面控件主题模块
      • 系统无线热点模块
      • ELF文件签名验证工具
    • 人工智能
      • 基于向量搜索的语义检索工具
      • 手写和语音识别输入模块
      • 操作系统基础功能AI智能化
      • 基于AI的实况文本功能
      • 基于大模型的办公文档自动生成功能
    • 区块链
      • 基于IPFS的分布式学习辅助平台
      • 基于Hyperledger Fabric的桌面助手软件
    • AR/VR
      • 基于AR/VR开源工具的虚拟现实应用
    • 大数据
      • 用户软件使用习惯分析工具
• OpenLibm
  • Platform support
  • Build instructions
  • Acknowledgements
• Introduction
  • Install:
  • Reference
• MeSHDbi
• Installation
• References
  • License
  • Authors
• scBubbletree
  • Overview
  • How to cite
  • How to use scBubbletree
  • Workflow & output
• External data for MOFA (Multi-Omics Factor Analysis)
  • Multi-omic data sets
  • Gene sets
  • Contact
• geometries
  • What is the point?
  • Some Examples
  • What do you mean, ‘link to’?
• Conf
  • Summary
  • Typical usecases
    • Creating the config
    • Load configurations
    • Data representation
    • Reading the value
    • Require the value
    • Updating values
    • Creating the keys
    • Working with process environment
• Customisation
• TODO
  • TreeAndLeaf: Displaying binary trees with focus on dendrogram leaves
  • Installation
• HLA Genotype Imputation with Attribute Bagging
  • Features
  • Bioconductor Package
    • Changes in Bioconductor Version (since v1.26.0, Y2020):
    • Changes in Bioconductor Version (since v1.14.0, Y2017):
    • Changes in Bioconductor Version (since v1.3.0, Y2013):
  • Package Author & Maintainer
  • Pre-fit Model Download
  • Citation
  • Installation
  • Acceleration
    • CPU with Intel Intrinsics
    • GPU with OpenCL
  • Archive
• Circlator
  • Contents
  • Introduction
  • Installation
  • Usage
  • License
  • Feedback/Issues
  • Citation
  • Further Information
• abawaca
• easyPubMed, latest dev version (ver. 3.1.3)
  • New features of easyPubMed version 3.1.3
  • Installation
  • Notes & Info
• IntaRNA
  • Contribution
  • Citation
    • Method
    • Features and Application
• Documentation
  • Overview
• Installation
  • IntaRNA via conda (bioconda channel)
  • IntaRNA docker container (via QUAY.IO)
  • Dependencies
  • Cloning Source code from github (or downloading ZIP-file)
  • IntaRNA package distribution (e.g. intaRNA-2.0.0.tar.gz)
  • Microsoft Windows installation
    • … from source
    • … using pre-compiled binaries
  • OS X installation with homebrew (thanks to Lars Barquist)
• Usage and parameters
• Just run …
  • Multi-threading and parallelized computation
  • Load arguments from file
• General things you should know
  • RNA-RNA interaction models
    • Single-site, loop-based RNA-RNA interaction with minimal free energy
    • Single-site, ensemble-based RNA-RNA interaction with minimal free ensemble energy
    • Helix-based single-site RNA-RNA interaction with minimal free energy
  • Prediction modes
    • Emulating other RNA-RNA interaction prediction tools
    • Limiting memory consumption - window-based prediction
  • IntaRNA’s multiple personalities
    • IntaRNA
      • IntaRNA1 and IntaRNA2
    • IntaRNAexact
    • IntaRNAhelix
    • IntaRNAduplex
    • IntaRNAsTar
    • IntaRNAseed
    • IntaRNAens
• How to constrain predicted interactions
  • Interaction restrictions
  • Seed constraints
    • Explicit seed input
  • Helix constraints
  • SHAPE reactivity data to enhance accessibility computation
• Output setup
  • Output modes
    • Standard RNA-RNA interaction output with ASCII chart
    • Detailed RNA-RNA interaction output with ASCII chart
    • Customizable CSV RNA-RNA interaction output
    • Ensemble output of considered RNA-RNA interactions
  • Pairwise vs. all-vs-all
  • Sequence indexing
  • Suboptimal RNA-RNA interaction prediction and output restrictions
  • Energy parameters and temperatures
  • Additional output files
    • Minimal energy profiles
    • Minimal energy for all intermolecular index pairs
    • Spot probability profiles
    • Interaction probabilities for interaction spots of interest
      • Spot probabilities for all intermolecular index pairs
    • Accessibility and unpaired probabilities
      • Local versus global unpaired probabilities
        • Use case examples global/local unpaired probability computation
      • Constraints for accessibility computation
      • Scaling factors for partition function computation for accessibility estimation
      • Read/write accessibility from/to file or stream
        • Use case examples for read/write accessibilities and unpaired probabilities
• Library for integration in external tools
  • Mandatory Easylogging++ initalization !
    • Attributions
• 安全漏洞扫描修复系统
  • 功能特性
  • 系统架构
  • 智能体说明
  • 环境要求
  • 安装步骤
    • 1. 创建虚拟环境
    • 2. 安装依赖
    • 3. 安装 CodeQL（可选）
  • 配置说明
  • 启动方式
    • 方式一：Web 界面启动（推荐）
    • 方式二：命令行启动
  • 工作流程
  • 目录结构
  • 输出说明
    • 输出目录
    • 日志文件
    • 补丁文件
  • 支持的漏洞类型示例
  • 注意事项
  • 常见问题
  • 许可证
• igvR
• Return::MultiLevel
• SYNOPSIS
• DESCRIPTION
  • Functions
• DEBUGGING
• CAVEATS
• AUTHORS
• COPYRIGHT AND LICENSE
• OP-TEE Client API
• FrenchFISH
  • Installation
  • Getting Started
  • Disclaimer
• FastUniq
  • How to use FastUniq in your program
  • Benchmark
• BMT
• ">smartid: Scoring and MARker identification method based on modified Tf-IDf
  • Installation
  • Overall workflow
• PRAM: Pooling RNA-seq and Assembling Models
  • Table of Contents
  • introduction'> Introduction
  • installation'> Installation
    • From GitHub
    • From Bioconductor
  • Reference
  • Contact
  • License
• ggarchery: Flexible segment geoms with arrows for ggplot2
  • geom_arrowsegment() allows placement of one or more arrowheads at any point on a segment
  • position_attractsegment() allows you to automatically shave the ends of arrow segments
  • Limitations
• GenomicInteractions
  • Installation
  • Bioconductor links and documentation
  • Citation
  • Contributing
• karyoploteR - An R/Biocondutor package to plot arbitrary data along the genome
  • Description
  • How to use it
  • Tutorial and Examples
  • Citing karyoploteR
  • A few example plots created with karyoploteR
• kallisto
  • Manual
  • License
  • Getting help
  • Reporting bugs
  • Development and pull requests
• KEGGgraph: A Graph Approach to KEGG PATHWAY in R and Bioconductor
  • Install
  • Usage
  • Questions, suggestions, comments?
  • Citation
  • External links
• artMS
  • Overview
  • How to install
    • Bioconductor
    • Development version from Github (unstable)
  • How to Contribute to artMS
  • artMS Help available online
• HiCBricks
  • Features
  • Installation
  • Getting Started
  • Development Notes
  • Future Roadmap
  • Contributing
• intansv
  • intansv integrates the SV predictions of the following programs
  • Install
  • Help Manual
    • intansv development version 1.27.0 support the following version of SV prediction programs
    • intansv development version 1.21.0 support the following version of SV prediction programs
    • intansv release version 1.7.3 support the following version of SV prediction programs
    • intansv release version 1.7.1 support the following version of SV prediction programs
• TSCAN: Tools For Single-Cell ANalysis
  • Overview
  • TSCAN Online User Interface
  • TSCAN Installation
  • TSCAN Datasets
  • Citation
  • Contact the Author
• Please use CRAN GUniFrac package (https://cran.r-project.org/web/packages/GUniFrac/index.html).
  • Overview
  • Installation
    • An Example
  • layout: default
• Mayx的博客
  • 使用的开源项目
  • 使用的网络资源
  • 版权声明
  • 打赏/赞助 Mayx
• PCT Jittor：基于 Jittor 实现的 Point Cloud Transformer 点云分类器
  • 改进
  • 使用方法
• About xcb-proto
• Low level infrastructure to handle MS spectra
• Installation
• Contributions
• Jib
  • What is Jib?
  • Goals
  • Quickstart
  • Examples
  • How Jib Works
  • Need Help?
  • Privacy
  • Get involved with the community
  • Disclaimer
• Device Tree Compiler and libfdt
  • Python library
  • Mailing lists
• qsmooth
  • Global normalization methods and their assumptions
  • How to evaluate if global normalization methods are appropriate?
  • qsmooth: a generalization of quantile normalization
  • Installing qsmooth
• Using qsmooth
• Bug reports
• Contributors
• SFEData
• Host-Pathogen Interaction Prediction (HPiP)
  • Installation
  • Adapting the pipeline for different datasets
  • Contribute
  • License
• SiTaDelA - Simple, flexible and reusable tab-delimited genome annotations
• Supported organisms
• Building and using a SiTaDelA local database
  • Installation of sitadela
  • Setup the database
  • Use the database
  • Add a custom annotation
  • A complete build
• Annotations on-the-fly
• co63oc/moonbit_promptkit
  • 支持的 API 平台
  • 项目结构
  • 通用说明
  • 文档生成
• IMAS
  • Scope
  • Installation
• pheatmap
  • Installation
  • Features
• mosdef
  • Installation
  • Usage overview
  • Development
  • Code of Conduct
  • License
• DBI
  • Installation
  • Example
  • Class structure
  • Further Reading
• The family of R packages containing TCGA data
  • Installation of packages from the RTCGA family:
• RTCGA
  • Installation of the RTCGA package:
• TileLang Puzzles
  • Getting Started
    • Environment Configuration
    • Run Puzzles
  • Acknowledgements
• scCB2
  • Installation
  • Vignettes
  • Citation
• M&NEM
  • Install:
  • References:
    • 前言
    • 0.快速使用
    • 1.功能
    • 2.概览
    • 3.安装
      • 3.1 使用 npm 安装
      • 3.2 cdn 引入
    • 4.使用
      • 4.1 webpack浏览器环境(有window对象)
      • 4.2 nodejs 等非浏览器环境
      • 4.3 原生浏览器环境
    • 5.API
      • 5.1 拼音笔画基础 API: spell & stroke
      • 5.2 可视化绘制汉字: draw
        • 5.2.1 使用
        • 5.2.2 参数
        • 5.2.3 绘制控制api
          • 5.2.3.1 startAnimation
          • 5.2.3.2 pauseAnimation & resumeAnimation
          • 5.2.3.3 drawNextStroke
        • 5.2.4 微信小程序中使用
      • 5.3 繁体、简体、火星文互转: convert
      • 5.4 笔画序列推出原汉字: orderToWord
      • 5.5 通过拼音查询原汉字: spellToWord
      • 5.6 通过笔画数查询原汉字: strokeToWord
      • 5.7 成语功能
      • 5.8 歇后语功能
      • 5.9 偏旁部首功能
      • 5.10 汉字、拼音工具方法
        • 5.10.1 查询拼音详细信息: spellInfo
        • 5.10.2 拼音音调操作: transformTone
        • 5.10.3 是否是汉字: isCnChar
        • 5.10.4 是否是多音字: isPolyWord
        • 5.10.5 比较拼音（汉字）大小: compareSpell
        • 5.10.6 比较汉字笔画数大小: compareStroke
        • 5.10.7 根据拼音排序: sortSpell
        • 5.10.8 根据笔画数排序: sortStroke
        • 5.10.9 将数字表示的声调转为拼音声调: shapeSpell
      • 5.11 自定义数据
        • 5.11.1 setSpell
        • 5.11.2 setSpellDefault
        • 5.11.3 setStrokeCount
        • 5.11.4 setPolyPhrase
        • 5.11.5 setOrder
        • 5.11.6 setRadical
        • 5.11.7 addXhy
      • 5.12 其他 api
        • 5.12.1 .use()
        • 5.12.2 .type
        • 5.12.3 .check
        • 5.12.4 .version
        • 5.12.5 .plugins
    • 6.参数介绍
      • 6.1 spell 参数
      • 6.2 stroke 参数
      • 6.3 orderToWord 参数
      • 6.4 spellToWord 参数
      • 6.5 strokeToWord 参数
      • 6.6 idiom 参数
      • 6.7 xhy 参数
      • 6.8 radical 参数
      • 6.9 使用实例大全：
        • 6.9.0 安装使用
        • 6.9.1 cnchar 基础库功能
        • 6.9.2 cnchar-poly 库功能
        • 6.9.3 cnchar-order 库功能
        • 6.9.4 cnchar-trad 库功能
          • 6.9.4.1 convert 字体转换
          • 6.9.4.2 spell 和 stroke 方法
        • 6.9.5 cnchar-idiom 库功能
        • 6.9.6 cnchar-xhy 库功能
        • 6.9.7 cnchar-radical 库功能
        • 6.9.8 工具方法
          • 6.9.8.1 spellInfo
          • 6.9.8.2 isCnChar
          • 6.9.8.3 transformTone
          • 6.9.8.4 compareSpell
          • 6.9.8.5 compareStroke
          • 6.9.8.6 sortSpell
          • 6.9.8.7 sortStroke
          • 6.9.8.8 isPolyWord
          • 6.9.8.9 shapeSpell
          • 6.9.8.10 setSpell
          • 6.9.8.11 setSpellDefault
          • 6.9.8.12 setStrokeCount
          • 6.9.8.13 setOrder
          • 6.9.8.14 setPolyPhrase
          • 6.9.8.15 setRadical
          • 6.9.8.16 addXhy
    • 7.应用例子
• scry
  • Installation
  • Issues and bug reports
• mlr3learners
  • Installation
  • Classification Learners
  • Regression Learners
• Viral Evolution ReconStructiOn (VERSO)
• VERSO STEP #1: robust phylogenomic inference from clonal variant profiles
  • RUNNING
• VERSO STEP #2: characterization of intra-host genomic diversity
  • RUNNING
• CONTACTS
  • Brief introduction
  • Getting started
    • Pre-requisites
    • How to install
  • How to use the WPM package
    • Supported input formats
    • Types of samples
    • Load the WPM package
    • Using the WPM with the command lines
      • Prepare the dataset
      • Run the WPM
      • Plate map visualization
    • Using the WPM through a web interface
      • Parameters setting
      • Check the results
  • Pending Features
  • Citing Our work
• Intro-ops 训练营
  • 快速开始
  • 常用命令
    • 构建脚本模式
    • 单算子测试
    • 强制重新构建
  • 项目结构
  • 架构说明
  • 算子列表
  • 开发流程
  • 新增算子
  • MetaX 后端
  • MetaX 上的 TileLang
  • 环境变量
• ">Fast, accurate, epiallele-aware
  methylation caller and reporter
  • Introduction
    • Features
    • Input Data
    • Capabilities
    • Recent improvements
      • v1.20 [BioC 3.23]
      • v1.14 [BioC 3.20]
      • v1.12 [BioC 3.19]
      • v1.10 [BioC 3.18]
      • v1.4 [BioC 3.15]
      • v1.2 [BioC 3.14]
  • Installation
    • install via Bioconductor
    • Install the latest version via install_github
  • Using the package
    • Citing the epialleleR package
    • Our experimental studies that use the package
    • epialleleR at Bioconductor
  • License
• PaxtoolsR
  • Install PaxtoolsR from Bioconductor (Recommended)
    • Dependencies
      • Windows (tested on Windows 10)
      • OS X (tested on Mavericks OSX 10.9+)
      • Ubuntu (tested on Ubuntu 14.04)
    • Install Bioconductor and PaxtoolsR
• Install PaxtoolsR Development Version from GitHub
• Using PaxtoolsR: R Vignette (Tutorial)
  • GDCRNATools - an R/Bioconductor package for downloading, organizing, and integrative analyzing lncRNA, mRNA, and miRNA data in GDC
• GeneBreak R package
  • Installation
  • Sample workflow
  • More information or help
  • Background
• ASpli
• An integrative R package for analysing alternative splicing using RNAseq
  • Authors
  • Introduction
  • Installation
  • Quick start
  • Documentation and help
  • Citation
• Comprehensive Rust 🦀
  • Course Format and Target Audience
  • Press
  • Setup
  • Commands
  • Contributing
  • License
  • Contact
• HarmonizR
  • Overview
  • Standard operating Procedure
  • Installation
  • Usage
• ob-repository-synchronize
  • Description
  • Principle
    • Base on git rebase
    • Base on git diff
  • backend
    • requirement
    • how to install
    • run the sync script locally
  • frontend
  • docker
  • docker by gitlink
  • How to use it
• Irreproducible Discovery Rate (IDR)
  • Installation
  • Usage
    • Peak matching
  • Output
    • Output file format
    • Plot output
  • Command Line Arguments
  • Contributors
  • References
  • Issues
• quantiseqr
  • Installation
  • Usage overview
  • Development
  • Code of Conduct
  • Citation
• MetaMobilePicker
  • Workflow
  • Installation
    • Installing using mamba (recommended)
    • Installing using source code
  • Testing the Pipeline
    • Technical test
    • Testing a run from scratch
      • Config files
    • Output data
    • Snakemake profiles
    • Other options
  • Visual overview
• spqn
• rexposome
  • Summary
  • Installation
    • Details
    • Authors
    • Loading Exposome
    • Exposome Characterization
    • Exposome-Phenotype Association
• The VCF Tool Box (TVTB)
  • Bioconductor release status
  • Description
  • Motivation
  • Installation
  • Graphical User Interface
  • Tests
  • License
• epivizR
  • Installation and requirements
  • Development version
  • Try it out
  • A quick tour
  • Non-blocking
  • More info
• speckle
  • Citation
  • Introduction
  • Installation
  • propeller example
• Intro-ops 训练营
  • 快速开始
  • 常用命令
    • 构建脚本模式
    • 单算子测试
    • 强制重新构建
  • 项目结构
  • 架构说明
  • 算子列表
  • 开发流程
  • 新增算子
  • MetaX 后端
  • MetaX 上的 TileLang
  • 环境变量
• tomoseqr
  • Detailed manual
  • Usage
    • Installation
      • From Bioconductor
      • From Github
    • Data preparation
      • Data example
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• A Jittor implementation of Conditional GAN (CGAN)
  • 🌈 概述
  • 🔧 环境配置
  • 🔗 参考

🌈 概述

基于Jittor框架实现CGAN。CGAN的核心思路是将噪声与标签一起投入生成器，将真实图片与标签一起投入判别器，从而使生成器可以生成指定类别的图片。由于MLP与CNN都可以对图像信息进行提取，所以分别基于二者实现CGAN（基于CNN实现的CGAN也可以看作是DCGAN的变种）。实现的两种模型分别在MNIST与CIFAR10上进行训练和测试。

🔧 环境配置

• python 3.10.4

• 安装Jittor

  # 检查python版本大于等于3.8
  python --version
  conda install pywin32
  python -m pip install jittor
  python -m jittor.test.test_core
  python -m jittor.test.test_example
  python -m jittor.test.test_cudnn_op

🔗 参考

• Conditional Generative Adversarial Nets
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarival Networks
• An empirical study on evaluation metrics of generative adversarial networks

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