@@ -220,6 +220,36 @@ show_only_public = Showing only public | |||
issues.in_your_repos = In your repositories | |||
contributors = Contributors | |||
page_title=Explore Better AI | |||
page_small_title=OpenI AI development cooperation platform | |||
page_description=The one-stop collaborative development environment for AI field provides AI development pipeline integrating code development, data management, model debugging, reasoning and evaluation | |||
page_use=Use Now | |||
page_only_dynamic=Show only open source project dynamics | |||
page_recommend_org=Recommended organization | |||
page_recommend_org_desc=These excellent organizations are using Qizhi AI to develop collaboration platforms; Your organization also wants to show here, | |||
page_recommend_org_commit=Click here to submit | |||
page_recommend_org_more=More organizations | |||
page_recommend_repo=Recommended projects | |||
page_recommend_repo_desc=Excellent AI project recommendation; Your project also wants to show here, | |||
page_recommend_repo_commit=Click here to submit | |||
page_recommend_repo_go=. Click here | |||
page_recommend_repo_more=Project Square | |||
page_dev_env=Collaborative development environment | |||
page_dev_env_desc=The biggest difference between Qizhi AI collaborative development platform and traditional git platform is that it provides a collaborative development environment for AI development | |||
page_dev_env_desc_title=Unified management of development elements | |||
page_dev_env_desc_desc=The platform provides four elements of AI development: unified management of model code, data set, model and execution environment | |||
page_dev_env_desc1_title=Data collaboration and sharing | |||
page_dev_env_desc1_desc=By uploading data sets in the project, many project members cooperate to complete data preprocessing; You can also establish a better model with community developers by setting the data as a public dataset | |||
page_dev_env_desc2_title=Model management and sharing | |||
page_dev_env_desc2_desc=Associate the model with the code version, adjust the model in different ways based on the code history version, and save the results; The trained model can be open and shared, so that more people can use the model to test and give feedback | |||
page_dev_env_desc3_title=One configuration, multiple use | |||
page_dev_env_desc3_desc=Provide execution environment sharing, one-time configuration and multiple use, reduce the threshold of model development, and avoid spending repeated time configuring complex environments | |||
page_dev_yunlao=PengCheng Cloudbrain open source collaboration | |||
page_dev_yunlao_desc1=The platform has been connected with Pengcheng Cloudbrain and can use the rich computing resources of Pengcheng Cloudbrain to complete AI development tasks | |||
page_dev_yunlao_desc2=Pengcheng Cloudbrain's existing AI computing power is 100p FLOPS@FP16 (billions of half precision floating-point calculations per second), the main hardware infrastructure is composed of GPU server equipped with NVIDIA Tesla V100 and Atlas 900 AI cluster equipped with Kunpeng and shengteng processors | |||
page_dev_yunlao_desc3=Developers can freely choose the corresponding computing resources according to the use requirements, and can test the adaptability, performance and stability of the model in different hardware environments | |||
page_dev_yunlao_desc4=If your model needs more computing resources, you can also apply separately | |||
[explore] | |||
repos = Repositories | |||
select_repos = Select the project | |||
@@ -222,6 +222,36 @@ issues.in_your_repos=属于该用户项目的 | |||
contributors=贡献者 | |||
page_title=探索更好的AI | |||
page_small_title=启智AI开发协作平台 | |||
page_description=面向AI领域的一站式协同开发环境,提供集代码开发、数据管理、模型调试、推理和评测为一体的AI开发流水线 | |||
page_use=立即使用 | |||
page_only_dynamic=仅展示开源项目动态 | |||
page_recommend_org=推荐组织 | |||
page_recommend_org_desc=这些优秀的组织正在使用启智AI开发协作平台;你的组织也想展示到这里, | |||
page_recommend_org_commit=点此提交 | |||
page_recommend_org_more=更多组织 | |||
page_recommend_repo=推荐项目 | |||
page_recommend_repo_desc=优秀的AI项目推荐;你的项目也想展示到这里, | |||
page_recommend_repo_commit=点此提交 | |||
page_recommend_repo_go=。进入 | |||
page_recommend_repo_more=项目广场 | |||
page_dev_env=协同开发环境 | |||
page_dev_env_desc=启智AI协作开发平台与传统git平台最大的不同就在于提供了面向AI开发的协同开发环境 | |||
page_dev_env_desc_title=开发要素统一管理 | |||
page_dev_env_desc_desc=平台提供了AI开发四大要素:模型代码、数据集、模型和执行环境的统一管理 | |||
page_dev_env_desc1_title=数据协同与共享 | |||
page_dev_env_desc1_desc=通过在项目中上传数据集,项目成员多人协作完成数据预处理;也可以通过将数据设置为公有数据集,与社区开发者共同建立更好的模型 | |||
page_dev_env_desc2_title=模型管理与共享 | |||
page_dev_env_desc2_desc=将模型与代码版本建立关联,可以基于代码历史版本,使用不同的方式调整模型,并将结果保存下来;训练好的模型可以开放共享,让更多人的使用模型测试并提出反馈 | |||
page_dev_env_desc3_title=一次配置,多次使用 | |||
page_dev_env_desc3_desc=提供执行环境共享,一次配置,多次使用,降低模型开发门槛,避免花费重复的时间配置复杂的环境 | |||
page_dev_yunlao=鹏城云脑开源协同 | |||
page_dev_yunlao_desc1=平台已经与鹏城云脑打通,可以利用鹏城云脑的丰富算力资源,完成AI开发任务 | |||
page_dev_yunlao_desc2=鹏城云脑现有AI算力100P FLOPS@FP16(每秒十亿亿次半精度浮点计算),主要硬件基础设施由搭载英伟达Tesla V100 的GPU服务器和搭载鲲鹏、昇腾处理器的Atlas 900 AI集群构成 | |||
page_dev_yunlao_desc3=开发者可以根据使用需求,自由选择相应计算资源,可以测试模型在不同硬件环境下的适配能力、性能、稳定性等 | |||
page_dev_yunlao_desc4=如果您的模型需要更多的计算资源,也可以单独申请 | |||
[explore] | |||
repos=项目 | |||
select_repos=精选项目 | |||
@@ -57,6 +57,36 @@ func setRecommendURL(ctx *context.Context) { | |||
} else { | |||
ctx.Data["RecommendURL"] = setting.RecommentRepoAddr | |||
} | |||
ctx.Data["page_title"] = ctx.Tr("home.page_title") | |||
ctx.Data["page_small_title"] = ctx.Tr("home.page_small_title") | |||
ctx.Data["page_description"] = ctx.Tr("home.page_description") | |||
ctx.Data["page_use"] = ctx.Tr("home.page_use") | |||
ctx.Data["page_only_dynamic"] = ctx.Tr("home.page_only_dynamic") | |||
ctx.Data["page_recommend_org"] = ctx.Tr("home.page_recommend_org") | |||
ctx.Data["page_recommend_org_desc"] = ctx.Tr("home.page_recommend_org_desc") | |||
ctx.Data["page_recommend_org_commit"] = ctx.Tr("home.page_recommend_org_commit") | |||
ctx.Data["page_recommend_org_more"] = ctx.Tr("home.page_recommend_org_more") | |||
ctx.Data["page_recommend_repo"] = ctx.Tr("home.page_recommend_repo") | |||
ctx.Data["page_recommend_repo_desc"] = ctx.Tr("home.page_recommend_repo_desc") | |||
ctx.Data["page_recommend_repo_commit"] = ctx.Tr("home.page_recommend_repo_commit") | |||
ctx.Data["page_recommend_repo_go"] = ctx.Tr("home.page_recommend_repo_go") | |||
ctx.Data["page_recommend_repo_more"] = ctx.Tr("home.page_recommend_repo_more") | |||
ctx.Data["page_dev_env"] = ctx.Tr("home.page_dev_env") | |||
ctx.Data["page_dev_env_desc"] = ctx.Tr("home.page_dev_env_desc") | |||
ctx.Data["page_dev_env_desc_title"] = ctx.Tr("home.page_dev_env_desc_title") | |||
ctx.Data["page_dev_env_desc_desc"] = ctx.Tr("home.page_dev_env_desc_desc") | |||
ctx.Data["page_dev_env_desc1_title"] = ctx.Tr("home.page_dev_env_desc1_title") | |||
ctx.Data["page_dev_env_desc1_desc"] = ctx.Tr("home.page_dev_env_desc1_desc") | |||
ctx.Data["page_dev_env_desc2_title"] = ctx.Tr("home.page_dev_env_desc2_title") | |||
ctx.Data["page_dev_env_desc2_desc"] = ctx.Tr("home.page_dev_env_desc2_desc") | |||
ctx.Data["page_dev_env_desc3_title"] = ctx.Tr("home.page_dev_env_desc3_title") | |||
ctx.Data["page_dev_env_desc3_desc"] = ctx.Tr("home.page_dev_env_desc3_desc") | |||
ctx.Data["page_dev_yunlao"] = ctx.Tr("home.page_dev_yunlao") | |||
ctx.Data["page_dev_yunlao_desc1"] = ctx.Tr("home.page_dev_yunlao_desc1") | |||
ctx.Data["page_dev_yunlao_desc2"] = ctx.Tr("home.page_dev_yunlao_desc2") | |||
ctx.Data["page_dev_yunlao_desc3"] = ctx.Tr("home.page_dev_yunlao_desc3") | |||
ctx.Data["page_dev_yunlao_desc4"] = ctx.Tr("home.page_dev_yunlao_desc4") | |||
} | |||
func Dashboard(ctx *context.Context) { | |||
@@ -572,14 +602,8 @@ func recommendFromPromote(url string) ([]string, error) { | |||
lines := strings.Split(allLineStr, "\n") | |||
result := make([]string, len(lines)) | |||
for i, line := range lines { | |||
tmpIndex := strings.Index(line, ".") | |||
log.Info("i=" + fmt.Sprint(i) + " line=" + line + " tmpIndex=" + fmt.Sprint(tmpIndex)) | |||
if tmpIndex == -1 { | |||
result[i] = strings.Trim(line, " ") | |||
} else { | |||
result[i] = strings.Trim(line[tmpIndex+1:], " ") | |||
} | |||
log.Info("i=" + fmt.Sprint(i) + " line=" + line) | |||
result[i] = strings.Trim(line, " ") | |||
} | |||
return result, nil | |||
} | |||
@@ -3,18 +3,18 @@ | |||
<div class="ui container" style="position: relative;"> | |||
<div class="ui center homebanner"> | |||
<h1 class="ui huge header"> | |||
探索更好的AI | |||
{{.page_title}} | |||
<div class="sub header"> | |||
启智AI开发协作平台 | |||
{{.page_small_title}} | |||
</div> | |||
</h1> | |||
<p class="ui am-lh-18">面向AI领域的一站式协同开发环境,提供集代码开发、数据管理、模型调试、推理和评测为一体的AI开发流水线</p> | |||
<p class="ui am-lh-18">{{.page_description}}</p> | |||
<a class="circular huge ui secondary button" href="{{AppSubUrl}}/user/sign_up">立即使用 <i class="right arrow icon"></i></a> | |||
<a class="circular huge ui secondary button" href="{{AppSubUrl}}/user/sign_up">{{.page_use}}<i class="right arrow icon"></i></a> | |||
</div> | |||
<div class="bannerpic"><img class="ui fluid image" src="/img/gitopeni-index-01.svg"></div> | |||
<div id="homenews" class="ui container"> | |||
<p>* 仅展示开源项目动态</p> | |||
<p>* {{.page_only_dynamic}}</p> | |||
<div class="ui grid"> | |||
<div class="twelve wide tablet ten wide computer column homenews"> | |||
<div class="newslist"> | |||
@@ -33,9 +33,9 @@ | |||
<div class="ui container homeorg"> | |||
<div class="ui stackable grid"> | |||
<div class="sixteen wide tablet four wide computer column homeorg-tit"> | |||
<h2>推荐组织</h2> | |||
<p><span class="ui text grey">这些优秀的组织正在使用启智AI开发协作平台;你的组织也想展示到这里,</span><a href="{{.RecommendURL}}">点此提交</a></p> | |||
<a href="{{AppSubUrl}}/explore/organizations" class="circular ui primary basic button">更多组织 <i class="arrow circle right icon"></i></a> | |||
<h2>{{.page_recommend_org}}</h2> | |||
<p><span class="ui text grey">{{.page_recommend_org_desc}}</span><a href="{{.RecommendURL}}">{{.page_recommend_org_commit}}</a></p> | |||
<a href="{{AppSubUrl}}/explore/organizations" class="circular ui primary basic button">{{.page_recommend_org_more}} <i class="arrow circle right icon"></i></a> | |||
</div> | |||
<div class="sixteen wide tablet twelve wide computer column"> | |||
<div class="ui stackable three column grid homeorg-list" id="recommendorg"> | |||
@@ -52,8 +52,8 @@ | |||
<div class="leftline02"></div> | |||
<div class="leftline02-2"></div> | |||
<div class="ui center homepro-tit am-mb-20"> | |||
<h2>推荐项目</h2> | |||
<p><span class="ui text grey">优秀的AI项目推荐;你的项目也想展示到这里,</span><a href="{{.RecommendURL}}">点此提交</a>。进入<a href="{{AppSubUrl}}/explore/">项目广场</a></p> | |||
<h2>{{.page_recommend_repo}}</h2> | |||
<p><span class="ui text grey">{{.page_recommend_repo_desc}}</span><a href="{{.RecommendURL}}">{{.page_recommend_repo_commit}}</a>{{.page_recommend_repo_go}}<a href="{{AppSubUrl}}/explore/">{{.page_recommend_repo_more}}</a></p> | |||
</div> | |||
<div class="homepro-list"> | |||
@@ -71,8 +71,8 @@ | |||
<div class="ui center am-pb-30"> | |||
<div class="leftline03"></div> | |||
<h2>协同开发环境</h2> | |||
<p><span class="ui text grey">启智AI协作开发平台与传统git平台最大的不同就在于提供了面向AI开发的协同开发环境</p> | |||
<h2>{{.page_dev_env}}</h2> | |||
<p><span class="ui text grey">{{.page_dev_env_desc}}</p> | |||
</div> | |||
<div class="ui four stackable cards"> | |||
<div class="card"> | |||
@@ -80,9 +80,9 @@ | |||
<img src="/img/i-pic-01.svg"> | |||
</div> | |||
<div class="content"> | |||
<h3 class="ui centered small header">开发要素统一管理</h3> | |||
<h3 class="ui centered small header">{{.page_dev_env_desc_title}}</h3> | |||
<div class="description"> | |||
平台提供了AI开发四大要素:模型代码、数据集、模型和执行环境的统一管理 | |||
{{.page_dev_env_desc_desc}} | |||
</div> | |||
</div> | |||
</div> | |||
@@ -91,9 +91,9 @@ | |||
<img src="/img/i-pic-02.svg"> | |||
</div> | |||
<div class="content"> | |||
<h3 class="ui centered small header">数据协同与共享</h3> | |||
<h3 class="ui centered small header">{{.page_dev_env_desc1_title}}</h3> | |||
<div class="description"> | |||
通过在项目中上传数据集,项目成员多人协作完成数据预处理;也可以通过将数据设置为公有数据集,与社区开发者共同建立更好的模型 | |||
{{.page_dev_env_desc1_desc}} | |||
</div> | |||
</div> | |||
</div> | |||
@@ -102,9 +102,9 @@ | |||
<img src="/img/i-pic-03.svg"> | |||
</div> | |||
<div class="content"> | |||
<h3 class="ui centered small header">模型管理与共享</h3> | |||
<h3 class="ui centered small header">{{.page_dev_env_desc2_title}}</h3> | |||
<div class="description"> | |||
将模型与代码版本建立关联,可以基于代码历史版本,使用不同的方式调整模型,并将结果保存下来;训练好的模型可以开放共享,让更多人的使用模型测试并提出反馈 | |||
{{.page_dev_env_desc2_desc}} | |||
</div> | |||
</div> | |||
</div> | |||
@@ -113,9 +113,9 @@ | |||
<img src="/img/i-pic-04.svg"> | |||
</div> | |||
<div class="content"> | |||
<h3 class="ui centered small header">一次配置,多次使用</h3> | |||
<h3 class="ui centered small header">{{.page_dev_env_desc3_title}}</h3> | |||
<div class="description"> | |||
提供执行环境共享,一次配置,多次使用,降低模型开发门槛,避免花费重复的时间配置复杂的环境 | |||
{{.page_dev_env_desc3_desc}} | |||
</div> | |||
</div> | |||
</div> | |||
@@ -130,14 +130,14 @@ | |||
<img class="ui centered large image" src="/img/i-yunnao.svg"> | |||
</div> | |||
<div class="ten wide column am-pt-30"> | |||
<h2 class="ui grey inverted header">鹏城云脑开源协同</h2> | |||
<h2 class="ui grey inverted header">{{.page_dev_yunlao}}</h2> | |||
<p class="am-lh-18 ui text grey"> | |||
平台已经与鹏城云脑打通,可以利用鹏城云脑的丰富算力资源,完成AI开发任务<br> | |||
鹏城云脑现有AI算力100P FLOPS@FP16(每秒十亿亿次半精度浮点计算),主要硬件基础设施由搭载英伟达Tesla V100 的GPU服务器和搭载鲲鹏、昇腾处理器的Atlas 900 AI集群构成<br> | |||
开发者可以根据使用需求,自由选择相应计算资源,可以测试模型在不同硬件环境下的适配能力、性能、稳定性等<br> | |||
如果您的模型需要更多的计算资源,也可以单独申请<br> | |||
{{.page_dev_yunlao_desc1}}<br> | |||
{{.page_dev_yunlao_desc2}}<br> | |||
{{.page_dev_yunlao_desc3}}<br> | |||
{{.page_dev_yunlao_desc4}}<br> | |||
</p> | |||
<a class="ui blue basic button am-mt-20" href="{{AppSubUrl}}/user/sign_up">立即使用</a> <a class="ui grey basic button am-mt-20" href="/zeizei/OpenI_Learning/issues">单独申请</a> | |||
<a class="ui blue basic button am-mt-20" href="{{AppSubUrl}}/user/sign_up">{{.page_use}}</a> <a class="ui grey basic button am-mt-20" href="/zeizei/OpenI_Learning/issues">单独申请</a> | |||
</div> | |||
</div> | |||
</div> | |||