The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 scikit-learn Open-Source Projects
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- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
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Project mention: Top 10 GitHub Repositories Every Developer Should Bookmark in 2024 | dev.to | 2024-02-07
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
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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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Project mention: About Data analyst, data scientist and data engineer, resources and experiences | dev.to | 2024-03-26
Python Data Science Handbook
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.
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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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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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Project mention: Featuretools – A Python Library for Automated Feature Engineering | news.ycombinator.com | 2023-09-20
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Project mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
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Project mention: Ask HN: What Underrated Open Source Project Deserves More Recognition? | news.ycombinator.com | 2024-03-07
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machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
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superduperdb
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
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Project mention: Pyenv – lets you easily switch between multiple versions of Python | news.ycombinator.com | 2024-03-25
We use Pyenv successfully for developing the Flower open-source project. We use a few simple Bash scripts to manage virtual environments with different Python versions via pyenv and the pyenv-virtualenv plugin.
The main scripts are `venv-create.sh`, `venv-delete.sh` and `bootstrap.sh`. `venv-reset.sh` pulls these three scripts together to make reinstalling your venv a single command.
Here's the link if anyone is interested: https://github.com/adap/flower/tree/main/dev
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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
scikit-learn related posts
- About Data analyst, data scientist and data engineer, resources and experiences
- Show HN: Logistic Regression Training on Encrypted Data with FHE
- Implementing a ChatGPT-like LLM from scratch, step by step
- Training ML Models on Encrypted Data with Homomorphic Encryption (FHE)
- AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though
- Tradero: A tool for achieving self-funding via trading
- Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1520.0
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A note from our sponsor - WorkOS
workos.com | 29 Mar 2024
Index
What are some of the best open-source scikit-learn projects? This list will help you:
Project | Stars | |
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1 | ML-For-Beginners | 65,268 |
2 | 100-Days-Of-ML-Code | 42,862 |
3 | PythonDataScienceHandbook | 41,238 |
4 | data-science-ipython-notebooks | 26,307 |
5 | handson-ml | 25,100 |
6 | best-of-ml-python | 15,208 |
7 | onnxruntime | 12,386 |
8 | python-machine-learning-book | 12,076 |
9 | Dask | 11,906 |
10 | mlcourse.ai | 9,345 |
11 | auto-sklearn | 7,378 |
12 | sktime | 7,330 |
13 | featuretools | 6,992 |
14 | autogluon | 6,984 |
15 | interpret | 5,962 |
16 | skorch | 5,596 |
17 | orange | 4,563 |
18 | machine_learning_complete | 4,462 |
19 | python-machine-learning-book-3rd-edition | 4,362 |
20 | superduperdb | 4,229 |
21 | yellowbrick | 4,183 |
22 | flower | 4,005 |
23 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 3,623 |