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Top 18 Shell Machine Learning Projects
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nsfw_data_scraper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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bigscience
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
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astroddpm
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
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features
A collection of development container 'features' for machine learning and data science (by iterative)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
This reminded me about https://github.com/elsamuko/Shirt-without-Stripes
Whose days may be soon over as gpt4 gets this overall right..? As noted by many folks here
Project mention: humanscript: An LLM powered plain english programming language | /r/nektonai | 2023-08-10
Project mention: Ask HN: Where to find an env with GPU for model training? | news.ycombinator.com | 2024-01-16You should checkout https://beam.cloud (I'm the founder), it'll give you access to plenty of cloud GPU resources for training or inference.
Right now it's pretty hard to get GPU quota on AWS/GCP, so hopefully this is useful for you.
Kubeflow is an ML platform like Sagemaker or Databricks that you can self-host in a Kubernetes cluster.
Installing/deploying it is as complicated as it sounds, but we've put together an infrastructure project that lets you '1-click' install it even in tiny environments.
The GH repo (also linked in blog) allows you to start Kubeflow in a codespace or small device using a docker container -- this is both good for trying it out and developing it into your own internal ML platform.
https://github.com/treebeardtech/kubeflow-helm
Project mention: Microsoft Docker Development Container Templates | news.ycombinator.com | 2023-08-13* "Features" (https://containers.dev/implementors/features/ ) which allow you to quickly add functionality to your dev containers. For example, when I want to add the terraform CLI, I add the corresponding feature to the devcontainer.json.
Project mention: Hi do you guys have any labelled dataset for training small robots ro recognize common objects? | /r/computervision | 2023-06-07You may want to try the Remyx engine - you can train a model by describing the labels you want without having to upload labeled data. Here's a demo. Your first model is free :) Here is our model zoo with some common object models that might be useful too.
Shell Machine Learning related posts
- Ask HN: Where to find an env with GPU for model training?
- Workers AI: serverless GPU-powered inference on Cloudflare’s global network
- Ultrafast serverless GPU runtime for custom SD models
- [D] We built Beam: An ultrafast serverless GPU runtime
- Install ros 2 humble on jetson orin
- Chatbots Don’t Know What Stuff Isn’t
- Should I use Docker ROS2?
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Machine Learning projects in Shell? This list will help you:
Project | Stars | |
---|---|---|
1 | awesome-kubernetes | 14,715 |
2 | nsfw_data_scraper | 12,149 |
3 | DeepDive | 1,946 |
4 | tensorflow-on-arm | 1,047 |
5 | bigscience | 935 |
6 | enclosure-picroft | 799 |
7 | Shirt-without-Stripes | 642 |
8 | mlops-v2 | 449 |
9 | humanscript | 224 |
10 | void-dataset | 103 |
11 | mlflow-easyauth | 100 |
12 | get-beam | 89 |
13 | astroddpm | 47 |
14 | kubeflow-bootstrap | 19 |
15 | metaflow-on-kubernetes-docs | 7 |
16 | features | 6 |
17 | model_zoo | 3 |
18 | Container-benchmarks | 1 |
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