|
|
@@ -221,42 +221,42 @@ issues.in_your_repos = In your repositories |
|
|
|
contributors = Contributors |
|
|
|
|
|
|
|
page_title=Explore Better AI |
|
|
|
page_small_title=OpenI AI development cooperation platform |
|
|
|
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 |
|
|
|
page_dev_yunlao_apply=Separate apply |
|
|
|
page_only_dynamic=Only show the dynamics of open source projects |
|
|
|
page_recommend_org=Recommended Organization |
|
|
|
page_recommend_org_desc=These excellent organizations are using the OpenI AI Collaboration Platform for collaborative development of projects. To show your organization 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 projects recommendation. To show your project here, |
|
|
|
page_recommend_repo_commit=Click here to submit. |
|
|
|
page_recommend_repo_go=Click here to |
|
|
|
page_recommend_repo_more=explore more projects. |
|
|
|
page_dev_env=Collaborative Development Environment |
|
|
|
page_dev_env_desc=Provide a collaborative development environment for AI development, which is the biggest highlight that distinguishes the OpenI AI Collaboration Platform from other traditional Git platforms. |
|
|
|
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, you can adjust the model in different ways based on the historical version of the code 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=Once Configuration, Multiple Reuse |
|
|
|
page_dev_env_desc3_desc=Provide execution environment sharing, Once Configuration, Multiple Reuse. Lower the threshold of model development, and avoid spending repetitive 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 Ascend processors. |
|
|
|
page_dev_yunlao_desc3=Developers can freely choose the corresponding computing resources according to their needs, and can test the adaptability, performance, stability of the model in different hardware environments. |
|
|
|
page_dev_yunlao_desc4=If your model requires more computing resources, you can also apply for it separately. |
|
|
|
page_dev_yunlao_apply=Apply Separately |
|
|
|
|
|
|
|
[explore] |
|
|
|
repos = Repositories |
|
|
|
select_repos = Select the project |
|
|
|
users = Users |
|
|
|
organizations = Organizations |
|
|
|
images = CloudImages |
|
|
|
images = Cloudbrain Mirror |
|
|
|
search = Search |
|
|
|
code = Code |
|
|
|
repo_no_results = No matching repositories found. |
|
|
@@ -2687,6 +2687,7 @@ error.unit_not_allowed = You are not allowed to access this repository section. |
|
|
|
head.community = Community |
|
|
|
head.project = Repositories |
|
|
|
head.openi = OpenI |
|
|
|
head.openi.repo = OpenI Projects |
|
|
|
head.dataset = Datasets |
|
|
|
foot.council = Council |
|
|
|
foot.technical_committee = Technical Committee |
|
|
|