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Top 23 Jupyter Notebook ML Projects
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1️⃣1️⃣ Practical Machine Learning 📈 📌 https://github.com/ageron/handson-ml Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.
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dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Project mention: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders | news.ycombinator.com | 2024-11-21From https://news.ycombinator.com/item?id=34619013 :
> /? awesome "explainable ai" https://www.google.com/search?q=awesome+%22explainable+ai%22
- (Many other great resources)
- https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master... :
> Post model-creation analysis, ML interpretation/explainability
> /? awesome "explainable ai" "XAI"
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imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Project mention: PiML: Python Interpretable Machine Learning Toolbox | news.ycombinator.com | 2024-11-05[2] https://github.com/csinva/imodels/issues/129
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superlinked
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
Project mention: Show HN: Superlinked – Vector Embeddings for Structured and Unstructured Data | news.ycombinator.com | 2024-12-02 -
serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
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cleora
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Project mention: Google Unveils Agent2Agent Protocol for Next-Gen AI Collaboration | dev.to | 2025-04-15Google's introduction of new tools for building and managing multi-agent ecosystems through Vertex AI is a pivotal move for enterprises. The Agent Development Kit (ADK) is a notable feature, providing an open-source framework that allows users to create AI agents with fewer than 100 lines of code. This framework supports Python and integrates with the AI capabilities of Vertex AI.
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S2ML-Generators
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
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getml-community
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
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vision-camera-realtime-object-detection
VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision
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examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)
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PHUDGE
Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.
Project mention: Recapping the AI, Machine Learning and Computer Meetup — August 8, 2024 | dev.to | 2024-08-09PHUDG3: Phi-3 as Scalable Judge
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augmented-interpretable-models
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
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Project mention: Ask HN: Why all these GitHub fake accounts starring my project | news.ycombinator.com | 2024-05-09
Many of the stargazers of my MLtraq GitHub repository https://github.com/elehcimd/mltraq look weird:
- No verifiable information, seemingly from China
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rea
A Reverse Engineering Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize reverse engineering tasks by combining machine learning with retrieval-based systems. (by mytechnotalent)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook ML discussion
Jupyter Notebook ML related posts
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Stable LM 3B: Bringing Sustainable, High-Performance LMs to Smart Devices
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How to Fine-Tune Foundation Models to Auto-Label Training Data
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Where to start
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FreeWilly 1 and 2, two new open-access LLMs
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YouTube channel on AI, ML, NLP and Computer Vision
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Help regarding DS career choices
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Losing the plot
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A note from our sponsor - CodeRabbit
coderabbit.ai | 25 Apr 2025
Index
What are some of the best open-source ML projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | handson-ml | 25,329 |
2 | StableLM | 15,830 |
3 | dopamine | 10,710 |
4 | pycaret | 9,286 |
5 | nlpaug | 4,551 |
6 | Andrew-NG-Notes | 2,851 |
7 | azureml-examples | 1,852 |
8 | awesome-ai-ml-dl | 1,527 |
9 | imodels | 1,443 |
10 | superlinked | 1,053 |
11 | serverless-ml-course | 569 |
12 | cleora | 502 |
13 | vertex-ai-samples | 311 |
14 | gan-vae-pretrained-pytorch | 192 |
15 | S2ML-Generators | 179 |
16 | getml-community | 113 |
17 | vision-camera-realtime-object-detection | 110 |
18 | examples | 85 |
19 | ltt | 66 |
20 | PHUDGE | 49 |
21 | augmented-interpretable-models | 42 |
22 | mltraq | 41 |
23 | rea | 31 |