wandb
checkov
wandb | checkov | |
---|---|---|
16 | 55 | |
8,243 | 6,558 | |
2.0% | 1.6% | |
9.9 | 9.9 | |
1 day ago | about 21 hours ago | |
Python | Python | |
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.
wandb
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
Weights & Biases — The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.
- Northlight makes Alan Wake 2 shine
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The last sentence of Lowes conveniently missing from OpenAI...
HuggingFace and wandb.ai (both competitors of OpenAI) both also have "do own research"
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Efficient way to tune a network by changing hyperparameters?
Wandb is the best! https://wandb.ai/
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[D] Monitoring production image models
To track stuff I've used wandb.ai in a company in the past, as someone else pointed out. Regarding metrics... This is really specific to your domain, and it is such a broad question. You could count color pixels, the distribution of intensity histograms, etc etc.
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How to use the colab notebook version of Dall-E mini and bypass the traffic limit - A guide
Step 1: The colab notebook uses wandb.ai, so you need to register for a wandb.ai account beforehand if you want to use the colab notebook. After registering you need to go to your homepage and copy the API key and paste/keep it somewhere.
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Roadmap for learning MLOps (for DevOps engineers)
I want to take a look at tools like https://wandb.ai/ and they would integrate into some of the pipelines I'm playing with.
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What's a sequel that got you thinking "the people who made this COMPLETELY missed the point of the first one"?
does current cgi and ai tech can bring back leslie nielsen? might use unreal engine and https://www.resemble.ai/ or https://wandb.ai/?
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What MLOps tools and processes do you use?
I'm currently working for a MLOps company so I'm heavily using their tools (Weights & Biases) but I've used custom C++ for deployment, Pytorch + fastai for quick experimentation, Weights & Biases for experiment tracking, hyper-parameter tuning + model versioning (hence why I went to work for them), custom database + data pipeline, HoloViz for data visualisation (really nice dashboarding tool), Jenkins for CI/CD, I also love Github Actions.
- [D] Best resources or tools to draw nicer table for comparing different models/frameworks performance
checkov
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Cloud Security and Resilience: DevSecOps Tools and Practices
1. Checkov: https://github.com/bridgecrewio/checkov Checkov is a static code analysis tool that helps developers prevent cloud misconfigurations during the development phase by scanning Terraform, CloudFormation, Kubernetes, and more.
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A Deep Dive Into Terraform Static Code Analysis Tools: Features and Comparisons
Checkov Owner/Maintainer: Prisma Cloud by Palo Alto Networks (acquired in 2021) Age: First released on GitHub on March 31st, 2021 License: Apache License 2.0
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Top Terraform Tools to Know in 2024
‍Checkov is another great tool that examines your Terraform files (.tf), parsing the configurations and evaluating them against a comprehensive set of predefined policies. It scans Terraform-managed infrastructure and detects misconfigurations that could lead to security issues or non-compliance with best practices and regulations.
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
Bridgecrew — Infrastructure as code (IaC) security powered by the open source tool - Checkov. The core Bridgecrew platform is free for up to 50 IaC resources.
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10 Ways for Kubernetes Declarative Configuration Management
Kustomize: It provides a solution to customize the Kubernetes resource base configuration and differential configuration without template and DSL. It does not solve the constraint problem itself, but needs to cooperate with a large number of additional tools to check constraints, such as Kube-linter, Checkov and kubescape.
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Top 10 terraform tools you should know about.
Checkov is a versatile static code analysis tool designed for infrastructure as code (IaC) and software composition analysis (SCA). It supports a wide range of technologies, including Terraform, CloudFormation, Kubernetes, Docker, and others, to detect security and compliance issues through graph-based scanning. Checkov also performs SCA scans, identifying vulnerabilities in open source packages and images by checking for Common Vulnerabilities and Exposures (CVEs). Additionally, it is integrated into Prisma Cloud Application Security, a platform that helps developers secure cloud resources and infrastructure-as-code files, enabling the identification, rectification, and prevention of misconfigurations throughout the development lifecycle.
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Understanding Container Security
For your Dockerfiles, you can also scan them. There are lots of tools that can check your Dockerfiles. They will validate if Dockerfile is compliant with Docker best practices such as not using root user, making sure a health check exists, and not exposing the SSH port. You can use Snyk and Checkov.
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Apim + function app & event grid
You could try https://www.checkov.io/
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Terraform Security Best Practices
We use https://www.checkov.io/ for this, it's very simple to get started with and works really well as PR quality gate
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How long have you guys actually had the title “platform engineer”? What other titles did you have before that, if any?
Once there is a CI pipeline for delivering infra changes you can add static code analysis tools (checkov) and even start testing changes (terratest)
What are some alternatives?
tensorboard - TensorFlow's Visualization Toolkit
tfsec - Security scanner for your Terraform code [Moved to: https://github.com/aquasecurity/tfsec]
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tflint - A Pluggable Terraform Linter
guildai - Experiment tracking, ML developer tools
OPA (Open Policy Agent) - Open Policy Agent (OPA) is an open source, general-purpose policy engine.
pytorch-summary - Model summary in PyTorch similar to `model.summary()` in Keras
terrascan - Detect compliance and security violations across Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
kics - Find security vulnerabilities, compliance issues, and infrastructure misconfigurations early in the development cycle of your infrastructure-as-code with KICS by Checkmarx.