dvc
gitignore
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dvc | gitignore | |
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109 | 285 | |
13,116 | 157,717 | |
1.4% | 1.0% | |
9.7 | 0.0 | |
5 days ago | 8 days ago | |
Python | ||
Apache License 2.0 | Creative Commons Zero v1.0 Universal |
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.
dvc
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My Favorite DevTools to Build AI/ML Applications!
Collaboration and version control are crucial in AI/ML development projects due to the iterative nature of model development and the need for reproducibility. GitHub is the leading platform for source code management, allowing teams to collaborate on code, track issues, and manage project milestones. DVC (Data Version Control) complements Git by handling large data files, data sets, and machine learning models that Git can't manage effectively, enabling version control for the data and model files used in AI projects.
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Why bad scientific code beats code following "best practices"
What you’re describing sounds like DVC (at a higher-ish—80%-solution level).
https://dvc.org/
See pachyderm too.
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First 15 Open Source Advent projects
10. DVC by Iterative | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.
- ML Experiments Management with Git
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Git Version Controlled Datasets in S3
I was using DVC (https://dvc.org/) for some time to help solve this but it was getting hard to manage the storage connections and I would run into cache issues a lot, but this solves it using git-lfs itself.
- Ask HN: How do your ML teams version datasets and models?
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Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
DVC (Data Version Control):
- Evaluate and Track Your LLM Experiments: Introducing TruLens for LLMs
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[D] Is there a tool to keep track of my ML experiments?
I have been using DVC and MLflow since then DVC had only data tracking and MLflow only model tracking. I can say both are awesome now and maybe the only factor I would like to mention is that IMO, MLflow is a bit harder to learn while DVC is just a git practically.
gitignore
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Streamlining Software Development: The Power of .gitignore Templates
In conclusion, the Gitignore repository stands as a testament to the power of collective knowledge and collaboration in software development. By providing a centralized repository of .gitignore templates, it empowers developers to streamline their workflow, maintain cleaner repositories, and focus on what they do best – writing exceptional code. As the software development landscape continues to evolve, the significance of .gitignore templates as indispensable tools for developers is set to endure.
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Release 0.12.0 of stevedore - minor feature enhancement
The challenge here was actually from my #48in28 Exercism participation, where I am pretty familiar the standard layout for some repositories since I am familiar with tooling and language, working with new languages does not come with the same familiarity, so I found it made sense to use canonical definitions, hence the use of github/gitignore.
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How to Use Environment Variables in Node.js
Add .env to your .gitignore file to prevent it from being committed. Here's an example file with it already added. You may also use dotenv for advanced configuration and it will automatically load environment variables from a .env file into process.env.
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Git Lesson: How to Use .gitignore and .gitkeep?
Here you can find ready-made .gitignore templates for various technologies and languages such as Python, Java, Kotlin, Go, and many others: https://github.com/github/gitignore/tree/main.
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New to Git/GitHub/Terraform, some questions about Terraform and pushing to GitHub
You could also use this git ignore template. Create you .gitignore and add the contents from that file in.
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Is there a free way to use unity for creating group projects?
I've only used free Unity with GitHub or GitLab, professionally and reaching back into internships. One recommendation would be to use a slightly longer .gitignore than the default, like this one.
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Basic Python Project Layout
Virtual Environments are a feature that has been part of python itself since version 3.3. It allows you to isolate both a python version and any packages you install with it. Every python project I develop with uses a virtual environment for such isolation purposes. Now I generally like to create these virtual environments inside the target project's directory so I know exactly what it's tied to. If you use GitHub's python gitignore file naming the virtual environment folder as venv or .venv will ensure it doesn't get committed (which you don't want). So I'll make a new project folder and create a virtual environment inside of it:
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Node.js 20.6.0 will include built-in support for .env files
Especially considering the GitHub .gitignore template for Node only ignores .env.local, not .local.env: https://github.com/github/gitignore/blob/main/Node.gitignore...
- Where can I find common .gitignores for C# Web API projects?
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Unable to push to github via github desktop. I added it to GitIgnore and it yielded another issue
# Get latest from https://github.com/github/gitignore/blob/main/Unity.gitignore
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
terragrunt - Terragrunt is a thin wrapper for Terraform that provides extra tools for working with multiple Terraform modules.
lakeFS - lakeFS - Data version control for your data lake | Git for data
git-lfs - Git extension for versioning large files
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
bfg-repo-cleaner - Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
gitlab
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
parcel - The zero configuration build tool for the web. 📦🚀
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
gitignore.plugin.zsh - ZSH plugin for creating .gitignore files.