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. Learn more →
Top 23 Mlops Open-Source Projects
-
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.
-
qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
-
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
-
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
-
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.
-
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
-
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
-
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.
-
Kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
-
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
-
wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
-
deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
-
BentoML
The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
-
postgresml
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [D] How do you keep up to date on Machine Learning? | /r/learnmachinelearning | 2023-08-13Made With ML
Project mention: Building in Public: Leveraging Tublian's AI Copilot for My Open Source Contributions | dev.to | 2024-02-12Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.
Project mention: Ask HN: Has Anyone Trained a personal LLM using their personal notes? | news.ycombinator.com | 2024-04-03I'm currently looking to implement locally, using QDrant [1] for instance.
I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].
[1]. https://qdrant.tech/
The easiest is to use vllm (https://github.com/vllm-project/vllm) to run it on a Couple of A100's, and you can benchmark this using this library (https://github.com/EleutherAI/lm-evaluation-harness)
14. LabelStudio by Human Signal | Github | tutorial
Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
Like Argo Workflows?
I need to use AWS Sagemaker (required, can't use easier services) and my adviser gave me this document to start with: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/question_answering_retrieval_augmented_generation/question_answering_langchain_jumpstart.ipynb
Project mention: pgvecto.rs alternatives - qdrant and Weaviate | libhunt.com/r/pgvecto.rs | 2024-03-13
Project mention: Data Quality at Scale with Great Expectations, Spark, and Airflow on EMR | dev.to | 2023-04-24Great Expectations (GE) is an open-source data validation tool that helps ensure data quality.
Interesting, thanks for sharing. I'll definitely take a look, although at this point I am so comfortable with Snakemake, it is a bit hard to imagine what would convince me to move to another tool. But I like the idea of composable pipelines: I am building a tool (too early to share) that would allow to lay Snakemake pipelines on top of each other using semi-automatic data annotations similar to how it is done in kedro (https://github.com/kedro-org/kedro).
There is MLOps Zoomcamp course (which shows end-to-end MLOps process with open-source MLOps tools) https://github.com/DataTalksClub/mlops-zoomcamp.
huyenchip.com/machine-learning-systems-design/toc.html - another nice but compact resource
I’ve been working in tech for more than five years. I started as a Data Scientist, and now I’m exploring and loving the DevRel 🥑 role for Taipy. Needless to say, evolving in the tech scene has been a ride full of ups, downs, and everything in between.
Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05Weights & 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.
Link to GitHub -->
Mlops related posts
- Show HN: Evaluate LLM-based RAG Applications with automated test set generation
- Show HN: Starwhale – An open source MLOps/LLMOps Platform
- VLLM Sacrifices Accuracy for Speed
- Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks
- Show HN: One-click machine learning deployment at scale on any cluster
- Easy, fast, and cheap LLM serving for everyone
- Introduction to NannyML: Model Evaluation without labels
-
A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
Index
What are some of the best open-source Mlops projects? This list will help you:
Project | Stars | |
---|---|---|
1 | Made-With-ML | 35,610 |
2 | Airflow | 34,397 |
3 | jina | 19,884 |
4 | qdrant | 17,718 |
5 | vllm | 17,656 |
6 | label-studio | 16,385 |
7 | awesome-production-machine-learning | 15,904 |
8 | argo | 14,259 |
9 | nni | 13,708 |
10 | awesome-mlops | 11,688 |
11 | dagster | 10,114 |
12 | amazon-sagemaker-examples | 9,491 |
13 | Weaviate | 9,436 |
14 | great_expectations | 9,418 |
15 | Kedro | 9,341 |
16 | mlops-zoomcamp | 8,735 |
17 | machine-learning-systems-design | 8,346 |
18 | Taipy | 8,257 |
19 | wandb | 8,159 |
20 | deeplake | 7,673 |
21 | metaflow | 7,559 |
22 | BentoML | 6,521 |
23 | postgresml | 5,413 |