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Top 23 Python Automl Projects
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
I'm guessing this comment is some kind of "if you know, you know." Likely starting from https://docs.ray.io/en/latest/cluster/vms/user-guides/launch... and then trawling through one of these I guess https://github.com/ray-project/ray/issues?q=is%3Aissue+prem+...
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InfluxDB
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Project mention: A ranked list of machine learning Python libraries. Updated weekly | news.ycombinator.com | 2025-01-31
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🌐 Composed Image Retrieval 📎 Intro to Multimodal LLama 3.2 🛠️ Multi Agent Concierge 💻 RAG with Langchain Granite, Milvus 🫶 Download content ✅ Transformer Replacement? 🤖 vLLM for runing models 🌐 Amphion 📝 Autogluon 🚙 Notebook LLama like Google's Notebook LLM 🫶 Monocle2ai for tracing GenAI app code LFA&D Project 🤖 Bee Agent Framework ✅ LLama RFP Response ▶️ GenAI Script 👽 Simular AI Agent S 🦾 DrawDB with AI ✨ Ollama with LLama 3.2 Vision!!!! Preview 🚕 Powerful RAG Checker 📊 SQL Generator 💻 Role of LLMs 🐍 Document Extraction 🕶️ Open Source Vector DB Reddit 🍔 The Practical Guide to Self Hosting LLM 🦾 Stagehand Controller 🕶️ Understanding HNSWLIB 🐍 Best practices in RAG 💻 Enigma Agent 📝 Langchain, Ollama, Phi3 for Function Calling 🔋 Compass Judger 📝 Princeton NLP SimPO 🍔 Princeton NLP ProLong 🔋 Princeton NLP HELMET 🧐 Ollama Cheatsheet 🚕 Princeton NLP CopyCat 📊 Princeton NLP Shp 🕶️ Can LLM Solve Hard Github Issues 📝 Enabling Large Language Models to Generate Text with Citations 🔋 Princeton NLP CharXiv 📊 Awesome AI Agents List 🦾 Nomic’s Matryoshka text embedding model
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Seamless integration: Works with OCI-compliant registries (e.g., Docker Hub and Jozu Hub) and integrates with popular tools like HuggingFace, ZenML, and Git.
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SaaSHub
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statsforecast – Forecasting with statistical and econometric models
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Project mention: Merlion: A Machine Learning Framework for Time Series Intelligence | news.ycombinator.com | 2025-02-28
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AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
📎 AutoRAG with Milvus 🛠️ ADO 🫶 Self Hosting LLM 🌐 Noema Declarative AI 📝 New NIM Blueprint for building AI Virtual Assistant 🚙 Zilliz Integrations 🫶 Using Milvus for Semantic Search 🤖 Contextual Retrieval 📎 Meta: Quantized Light Weight Models 🚙 https://arxiv.org/pdf/2407.01219 ✅ Cool Icons 🙌 IBM Watson AI Milvus Bot 📎 The Hacker's Browser 🛠️ Small and Mighty H2O Model 📝 Zilliz Cloud vs Qdrant 💫 Gravatino and Agents 🛠️ OSS Summit Europe 2024 Report ▶️ RAG Strategi 🤖 MS AI Data Visualizations 🌐 Graph RAG 👽 South Bay Meetup 15 Oct 2024 🦾 Influx and Milvus 👽 Multimodal Pipelines ✨ Constrained Sampling from LLM 🚕 BAML: Cheaper, Fast and More Accurate Function Calling 📊 Infinite World Generation with outlines txt 💻 Ollama Client Swift 🍔 Atomic Agents 🕶️ PYMUPDF4LLM 🚕 Milvus for AI Agents 📊 Fine Tuning LLAMA 3 with ORPO 🦾 Run NVIDIA Models 💻 LLM Training Meta Lingua ✨ 1 Bit LLM - MS BitNet 💻 Intro 🕶️ Mastering Chunk 📊 Storm Stanford Tool 🐍 DAMO NLP SG CaRing 🍔 LLM Reasoners
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Project mention: Show HN: Supertree – interactive visualization of decision trees in Python | news.ycombinator.com | 2024-08-27We would like to keep package sustainable. Earlier, we've created package for AutoML which is MIT license (https://github.com/mljar/mljar-supervised), and it is very hard to monetise it, and you need to have funds to keep package maintained and work on it.
Regarding purchasing, we just don't have time create landing page with buy button :) we will add it soon. The package cost will be 499 USD/yearly. We already have few finance companies interested.
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lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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Project mention: Genetically synthesized supergain broadband wire-bundle antenna | news.ycombinator.com | 2024-07-31
For those who're only distantly aware of the kind of problem this solves (like me), the wikipedia link further elaborates:
https://en.wikipedia.org/wiki/Symbolic_regression
and turns out there's a Python package
https://github.com/MilesCranmer/PySR
I've needed something like this at least once (but IIRC no more than twice ;) ), so I'm glad to know what to look for next time, thanks for the rabbit hole!
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sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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AutoML is a popular area in machine learning, mainly used for model optimization and hyperparameter tuning. Here, Katib, a Kubernetes-based AutoML project, is used. For more details, visit Katib on GitHub.
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SaaSHub
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Automl discussion
Python Automl related posts
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Building automated machine learning with type inference
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Show HN: Supertree – interactive visualization of decision trees in Python
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Show HN: ai() to run any ML and answer with Python type
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Fine-tuning a Mistral Language Model with Anyscale
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
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Using Large Language Models for Hyperparameter Optimization, Zhang et al. 2023 [GPT-4 is quite good at finding the optimal hyperparameters for machine learning tasks]
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[Project] AMLTK: A framework for building your own AutoML (AutoSklearn authors)
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A note from our sponsor - SaaSHub
www.saashub.com | 19 May 2025
Index
What are some of the best open-source Automl projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Ray | 37,068 |
| 2 | best-of-ml-python | 20,054 |
| 3 | autokeras | 9,235 |
| 4 | autogluon | 8,841 |
| 5 | auto-sklearn | 7,832 |
| 6 | featuretools | 7,445 |
| 7 | zenml | 4,581 |
| 8 | statsforecast | 4,356 |
| 9 | Merlion | 4,286 |
| 10 | AutoRAG | 3,927 |
| 11 | mljar-supervised | 3,154 |
| 12 | lazypredict | 3,139 |
| 13 | igel | 3,112 |
| 14 | keras-tuner | 2,881 |
| 15 | PySR | 2,796 |
| 16 | Auto-PyTorch | 2,437 |
| 17 | sparseml | 2,135 |
| 18 | EasyRec | 1,999 |
| 19 | AutoViz | 1,805 |
| 20 | katib | 1,577 |
| 21 | AutoDL-Projects | 1,577 |
| 22 | tods | 1,537 |
| 23 | MLBox | 1,514 |
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