stable-baselines3-contrib
copilot-cli
| stable-baselines3-contrib | copilot-cli | |
|---|---|---|
| 6 | 51 | |
| 427 | 3,319 | |
| 4.0% | 0.8% | |
| 6.7 | 9.5 | |
| about 1 month ago | 6 days ago | |
| Python | Go | |
| MIT License | 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.
stable-baselines3-contrib
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Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm.
# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :
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Understanding Action Masking in RLlib
Here's a theoretical overview and an implementation of action masking for PPO.
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PPO rollout buffer for turn-based two-player game with varying turn lengths
Simplified version of rollout collection (adapted from ppo_mask.py line 282):
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GitHub Copilot: your AI pair programmer
Transformers (GPT-3) aren't quite _supervised_, but it does require valid samples.
Agree 100% with RL being the path forward. You probably have already seen ( https://venturebeat.com/2021/06/09/deepmind-says-reinforceme... ). Personally I'm really stoked for this https://github.com/Stable-Baselines-Team/stable-baselines3-c... , which will make it a lot easier for rubes like me to use RL.
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[P] Stable-Baselines3 v1.0 - Reliable implementations of RL algorithms
But as we already have vanilla DQN and QR-DQN (in our contrib repo: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib ) I think it is already a good start for off-policy discrete action algorithms. (QR-DQN is usually competitive vs DQN+extensions)
copilot-cli
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Use AWS Graviton processors on AWS Fargate with Copilot
AWS Copilot CLI is an open source command line interface for running containers on AWS App Runner, Amazon Elastic Container Service (ECS), and AWS Fargate.
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AI Chatbot powered by Amazon Bedrock 🚀🤖
sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux && sudo chmod +x /usr/local/bin/copilot
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Launch HN: Nullstone (YC W22) – An easier way to deploy and manage cloud apps
Check out AWS Copilot CLI: https://aws.github.io/copilot-cli/
This is by far the best way to deploy compute into AWS in containerized workloads.
The abstraction you want is Jobs: ttps://aws.github.io/copilot-cli/docs/concepts/jobs/
Building this any other way on AWS would require provisioning multiple artifacts. The Copilot Jobs abstraction basically encapsulates the provisioning of those artifacts into one repeatable pattern.
- Support of Lambda web adapter on AWS Copilot
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AWS ECS Basics and Tips
AWS Copilot CLI is a tool that lets you deploy production-ready, scalable services on AWS from a Dockerfile in one command.
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Need some help understanding pulling git code to ECS.
and here is the copilot page if you are interested https://aws.github.io/copilot-cli/
- AWS Copilot CLI
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What is your production environment?
For larger high availability required things, AWS ECS with RDS, ElastiCache, CloudFront, S3, etc.. Really like Copilot for deployment/env/secret/sidecar management (probably needs a rename now): https://aws.github.io/copilot-cli/
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Heroku Status – Dashboard/API Offline
We are spending about 60% less. Workload has actually lessened since AWS is so much more stable. Getting to a similar DX as Heroku was quite the lift, but once it's done, it's done. These days we generally only have outages when we screw something up ourselves. I recommend https://github.com/aws/copilot-cli for starting out on ECS.
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Deploying on ECS
I'd recommend checking out AWS Copilot (https://aws.github.io/copilot-cli/)
What are some alternatives?
muzero-general - MuZero
TabNine - AI Code Completions
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
stable-baselines3-c
terraforming - Export existing AWS resources to Terraform style (tf, tfstate) / No longer actively maintained
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
awesome-cdk - A collection of awesome things related to the AWS Cloud Development Kit (CDK)
dreamerv2 - Mastering Atari with Discrete World Models
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
robot-gym - RL applied to robotics.
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀