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“ To get started, you can simply run our Quickstart Example! https://lnkd.in/eUJGPhXx How is Layer different from other tools? Although there are plenty of ML and DS tooling products, we believe that there is still a large gap around collaboration. Many data science projects are hosted on GitHub, which, in our experience, does not provide sufficient depth and abstractions for ML/DS projects. We don't want you to change how you develop your ML projects. No need to use a special remote notebook, no need to create YAML files or learn a new scripting language just to integrate a new tool into your stack. You can use Layer in your local notebook or Python script. We tried to hit a sweet spot for the level of abstraction for complex ML pipelines. Models and Datasets are first-class citizens in Layer. Layer can be easily integrated into your existing codebase. Adding Layer decorators on top of your existing functions is easy and straightforward. What can you do with Layer? Build, train and track your machine learning projects. Use remote GPU-enabled containers (Free 30 hours/week) to train your models with the help of @fabric decorator from your local notebook. Create dynamic Project Cards inserting comparison metrics, parameters, plots, images and tables. With a single line of code, load models or datasets from publicly shared community projects. What’s under the hood? At Layer, there are two modes for executing your projects: local and remote. To make your training function execute in local mode you just add a model decorator to it. This decorator attaches special metadata that Layer uses. When you call such a decorated function as you normally would, it will be executed on your machine. In addition to that, Layer will use the attached metadata and the result of that function call to register the returned model into our model catalog. To make a function execute in remote mode, you decorate it with the model decorator and pass the function to layer.run([])`.This will make the function run remotely in a container on the Layer infrastructure. This works by leveraging the metadata attached with the decorator and pickling/unpickling your function in the dedicated container for its execution. Then the function is called and its returned result is saved into your project. ” – Derrick Mwiti Discussion | Link
Technology & Programming China
1136 days ago
“ Hey, Product Hunt! We’re Dmitry and Oleksii, creators of Reshaped. Each of us has spent 10 years building and contributing to design systems for startups and corporations with hundreds of designers and developers. We've learned that trends come and go, but core challenges stay. So we've chosen to focus on things that will be relevant years from now and have created our own approach that works at any scale. We've packed our expertise into a white-label design system that we use ourselves and now make available for others — that's how Reshaped was born. With Reshaped we’re solving the most common issues you will face during UI design and development, providing you with the core components, theming engine, automatic dark mode support, best-in-class accessibility features and thorough documentation for every little peace of the system. We hope you enjoy using it as much as we do ourselves! P.S. We keep early bird prices till June 10 to celebrate the launch :) ” – Dmitry Belyaev Discussion | Link
Technology & Programming China
1136 days ago
¥ 12000
一、需求描述： 类别：桌面应用开发 进度：已经有产品文档、原型图、UI，需要技术开发（已完成部分功能）。 功能：蓝鹊会议与示范教学平台主要是为医院系统内部人员使用，该平台的主要功能有直播课、视频课、会议室、培训课基于electron进行桌面应用化。目前直播课、视频课、会议室功能已开发完成，由于之前选用的声网“灵动课堂”SDK已不能满足直播课和会议的功能现已经考虑替换为“华为云会议”SDK。 技术：electron。 二、人才要求： 3年以上前端开发经验，熟悉electron，有接过华为云会议SDK的优先。 四、合作方式： 开发方式：远程开发。 开发周期：1
Technology & Programming 猿急送 China
1136 days ago
¥ 10000-50000
QP定制插件，懂得来，只要能做价格可商量
Technology & Programming 开源众包 China
1136 days ago
¥ 30000
简介
本项目是多端招聘小店开发 招聘小店开发
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Technology & Programming 码市 China
1136 days ago

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