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Top 18 Go Mlops Projects
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Weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
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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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flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
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onepanel
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
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aqueduct
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure. (by RunLLM)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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terraform-provider-iterative
☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
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openmodelz
One-click machine learning deployment (LLM, text-to-image and so on) at scale on any cluster (GCP, AWS, Lambda labs, your home lab, or even a single machine).
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glide
🐦 A open blazing-fast simple model gateway for rapid development of production GenAI apps (by EinStack)
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distributed-inference
A project to demonstrate an approach to designing cross-language and distributed pipeline in deep learning/machine learning domain, using WebRTC and Redis Streams.
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kubernetes-operator-roiergasias
'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition s
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Like Argo Workflows?
https://github.com/argoproj/argo-workflows
Project mention: Weaviate – A cloud-native, open-source vector database | news.ycombinator.com | 2024-05-07
9. Flyte by Union AI | Github | tutorial
17. Determined AI | Github | tutorial
Project mention: Show HN: One-click machine learning deployment at scale on any cluster | news.ycombinator.com | 2024-01-10
Project mention: The Docker build – Docker run workflow missing from AI/ML? | news.ycombinator.com | 2024-05-08
Project mention: Ask HN: How do your ML teams version datasets and models? | news.ycombinator.com | 2023-09-28I've used DVC in the past and generally liked its approach. That said, I wholeheartedly agree that it's clunky. It does a lot of things implicitly, which can make it hard to reason about. It was also extremely slow for medium-sized dataset (low 10s of GBs).
In response, I created a command-line tool that addresses these issues[0]. To reduce the comparison to an analogy: Dud : DVC :: Flask : Django.
[0]: https://github.com/kevin-hanselman/dud
Project mention: Deploy and Fine-tune large language models on k8s - Trying this out this weekend | /r/AIOps | 2023-09-21
Project mention: Looking for cofounders to build open reliable LLM infra | news.ycombinator.com | 2024-04-29As a pivotal project, we are currently building Glide Gateway which ports an idea of API gateway into GenAI realities (https://github.com/EinStack/glide). We have a few more ideas in the pipeline but I guess we need more hands to get stuff done.
Go Mlops related posts
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Show HN: One-click machine learning deployment at scale on any cluster
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Deploy and Fine-tune large language models on k8s - Trying this out this weekend
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Show HN: Kubectl Notebook
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Deploy and fine-tune large language models on K8s
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🐂 🌾 Oxen.ai - Blazing Fast Unstructured Data Version Control, built in Rust
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Show HN: Reproducible development environments using starlark, without Nix
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Kubeflow, Jupyter notebook online. Question to community [D]
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Jun 2024
Index
What are some of the best open-source Mlops projects in Go? This list will help you:
Project | Stars | |
---|---|---|
1 | argo | 14,415 |
2 | Weaviate | 9,865 |
3 | flyte | 5,054 |
4 | determined | 2,885 |
5 | training-operator | 1,486 |
6 | onepanel | 706 |
7 | aqueduct | 522 |
8 | terraform-provider-iterative | 287 |
9 | openmodelz | 232 |
10 | kitops | 198 |
11 | dud | 167 |
12 | runbooks | 158 |
13 | glide | 98 |
14 | oomstore | 85 |
15 | beneath | 81 |
16 | distributed-inference | 46 |
17 | kubernetes-operator-roiergasias | 7 |
18 | sdk-go | 3 |
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