aws-sdk-js-v3
determined
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aws-sdk-js-v3 | determined | |
---|---|---|
18 | 10 | |
2,854 | 2,861 | |
2.7% | 3.8% | |
9.9 | 9.9 | |
4 days ago | 3 days ago | |
TypeScript | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
aws-sdk-js-v3
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AWS SDK v3 + DAX
From this GitHub issue and this one from 2021 it seems like AWS just doesn't care about this - so, asking here if anyone knows of a workaround (other than "just keep using v2"... that's not a long-term solution), or if any AWS devs can shed some light on the situation.
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Why and how you should use AWS SDK for JavaScript (v3) on Node.js 18
First class typescript support, but everything is possibly undefined?
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ts-dynamodb-attributes-transformer - A code transformer of TypeScript object to DynamoDB attributes
I published "ts-dynamodb-attributes-transformer" that transforms the TypsScript object to Amazon DynamoDB attributes (precisely, this attributes type is Record that is defined at aws-sdk-js-v3).
- A New Hope for Object Storage: R2 Enters Open Beta
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Working with EKS: Using IAM and native K8s service accounts to access AWS S3
Once we have verified the presence of the AWS_WEB_IDENTITY_TOKEN_FILE and AWS_ROLE_ARN environment variables, our pod is ready to connect to and read from S3. The following Typescript snippet illustrates a simple example which fetches the names of all the S3 buckets in our account. It uses the AWS SDK for JavaScript V3
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Deno in 2021
If you'd like the Amazon JavaScript SDK to support Deno then make your support known on this thread:
https://github.com/aws/aws-sdk-js-v3/issues/1289
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AWS SDK v2 or v3 - which one should you use?
I really suggest checking out the repo and especially the Upgrading section for more details.
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AWS management: please add more staff to work on the AWS JS v3 SDK
No CloudFront URL signing - how can v3 SDK be labeled as general release if it doesn't have feature parity with the v2 SDK?
- AWS keeps dropping the ball with their AWS JavaScript v3 SDK
- ZA̡͊͠͝LGΌ causes "Invalid MD5 checksum on messages"
determined
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Open Source Advent Fun Wraps Up!
17. Determined AI | Github | tutorial
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ML Experiments Management with Git
Use Determined if you want a nice UI https://github.com/determined-ai/determined#readme
- Determined: Deep Learning Training Platform
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Queueing/Resource Management Solutions for Self Hosted Workstation?
I looked up and found [Determined Platform](determined.ai), tho it looks a very young project that I don't know if it's reliable enough.
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Ask HN: Who is hiring? (June 2022)
- Developer Support Engineer (~1/3 client facing, triaging feature requests and bug reports, etc; 2/3 debugging/troubleshooting)
We are developing enterprise grade artificial intelligence products/services for AI engineering teams and fortune 500 companies and need more software devs to fill the increasing demand.
Find out more at https://determined.ai/. If AI piques your curiosity or you want to interface with highly skilled engineers in the community, apply within (search "determined ai" at careers.hpe.com and drop me a message at asnell AT hpe PERIOD com).
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How to train large deep learning models as a startup
Check out Determined https://github.com/determined-ai/determined to help manage this kind of work at scale: Determined leverages Horovod under the hood, automatically manages cloud resources and can get you up on spot instances, T4's, etc. and will work on your local cluster as well. Gives you additional features like experiment management, scheduling, profiling, model registry, advanced hyperparameter tuning, etc.
Full disclosure: I'm a founder of the project.
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[D] managing compute for long running ML training jobs
These are some of the problems we are trying to solve with the Determined training platform. Determined can be run with or without k8s - the k8s version inherits some of the scheduling problems of k8s, but the non-k8s version uses a custom gang scheduler designed for large scale ML training. Determined offers a priority scheduler that allows smaller jobs to run while being able to schedule a large distributed job whenever you need, by setting a higher priority.
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Cerebras’ New Monster AI Chip Adds 1.4T Transistors
Ah I see - I think we're pretty much on the same page in terms of timetables. Although if you include TPU, I think it's fair to say that custom accelerators are already a moderate success.
Updated my profile. I've been working on DL training platforms and distributed training benchmarking for a bit so I've gotten a nice view into the GPU/TPU battle.
Shameless plug: you should check out the open-source training platform we are building, Determined[1]. One of the goals is to take our hard-earned expertise on training infrastructure and build a tool where people don't need to have that infrastructure expertise. We don't support TPUs, partially because a lack of demand/TPU availability, and partially because our PyTorch TPU experiments were so unimpressive.
[1] GH: https://github.com/determined-ai/determined, Slack: https://join.slack.com/t/determined-community/shared_invite/...
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[D] Software stack to replicate Azure ML / Google Auto ML on premise
Take a look at Determined https://github.com/determined-ai/determined
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AWS open source news and updates No.41
determined is an open-source deep learning training platform that makes building models fast and easy. This project provides a CloudFormation template to bootstrap you into AWS and then has a number of tutorials covering how to manage your data, train and then deploy inference endpoints. If you are looking to explore more open source machine learning projects, then check this one out.
What are some alternatives?
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
ColossalAI - Making large AI models cheaper, faster and more accessible
aws4fetch - A compact AWS client for modern JS environments
Dagger.jl - A framework for out-of-core and parallel execution
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
aws-sdk-js - AWS SDK for JavaScript in the browser and Node.js
jsii - jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase!
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
bref - Serverless PHP on AWS Lambda
alpa - Training and serving large-scale neural networks with auto parallelization.