Mastering_Go_ZH_CN
《Mastering GO》中文译本，《玩转 GO》。 (by hantmac)
cortex
Production infrastructure for machine learning at scale (by cortexlabs)
| Mastering_Go_ZH_CN | cortex | |
|---|---|---|
| 1 | 33 | |
| 3,344 | 7,990 | |
| - | 0.1% | |
| 1.0 | 2.2 | |
| about 1 year ago | 11 months ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Mastering_Go_ZH_CN
Posts with mentions or reviews of Mastering_Go_ZH_CN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2020-11-17.
-
Gopher Gold #20 - Wed Nov 18 2020
hantmac/Mastering_Go_ZH_CN (Go): 《Mastering GO》中文译本，《玩转 GO》。
cortex
Posts with mentions or reviews of cortex.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-10.
- Ask HN: Are there any reliable benchmarks for Machine Learning Model Serving?
-
Local text generation (InferKit alternative)
I found GPT-2 with PyTorch, Cortex, and Transformers.
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Why ML should be written as pipelines from the get-go
Technologies: Flask/FastAPI, Kubernetes, Docker, Cortex, Seldon
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[P] I made tinymodels.io to deploy models quickly, feel free to use for your prototypes and web demos
oh I see - that's neat. I think cortex.dev had some support for that sort of thing. It is? was? a wrapper to manage an EKS cluster for you and it could do things like hot swap what's in ram, autoscale, or use spot instances to save costs.
- Containers as a service on AWS
- Containers as a Service on AWS
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How would you go about deploying transformer based model?
I use cortex.dev for deploying my models. I have successfully deployed finetuned T5s, which seems similar to your usecase.
-
Microservice on ECS having burst load issue
Arghs, my bad, yeah, doesn't seem to be available yet. But maybe Cortex might help: https://github.com/cortexlabs/cortex
- Self-hosted AWS Lambda alternative
What are some alternatives?
When comparing Mastering_Go_ZH_CN and cortex you can also consider the following projects:
prysm - Go implementation of Ethereum proof of stake
MLflow - Open source platform for the machine learning lifecycle
build-web-application-with-golang - A golang ebook intro how to build a web with golang
golang-design-pattern - 设计模式 Golang实现－《研磨设计模式》读书笔记
oauth2 - Go OAuth2
cilium - eBPF-based Networking, Security, and Observability
PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
terraform-provider-azurerm - Terraform provider for Azure Resource Manager
Wails - Create beautiful applications using Go
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
Mastering_Go_ZH_CN vs prysm
cortex vs MLflow
Mastering_Go_ZH_CN vs build-web-application-with-golang
cortex vs golang-design-pattern
Mastering_Go_ZH_CN vs golang-design-pattern
cortex vs oauth2
Mastering_Go_ZH_CN vs cilium
cortex vs prysm
Mastering_Go_ZH_CN vs PhotoPrism
cortex vs terraform-provider-azurerm
Mastering_Go_ZH_CN vs Wails
cortex vs OpenFaaS