SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 Jupyter Notebook scikit-learn Projects
-
Project mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12
-
-
InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
-
Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
-
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | reddit.com/r/statistics | 2022-12-12 -
Project mention: [P] skorch 0.12.0 - HuggingFace integrations for sklearn, M1 support and others | reddit.com/r/MachineLearning | 2022-10-07
Find a detailled list of changes in the release text.
-
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
-
Project mention: [D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on. | reddit.com/r/MachineLearning | 2023-01-06
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
-
SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
-
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
-
-
Project mention: Show HN: AutoML Python Package for Tabular Data with Automatic Documentation | news.ycombinator.com | 2022-09-05
-
-
Project mention: [Project] BFLOAT16 on ALL hardware (>= 2009), up to 2000x faster ML algos, 50% less RAM usage for all old/new hardware - Hyperlearn Reborn. | reddit.com/r/MachineLearning | 2022-06-02
Hello everyone!! It's been a while!! Years back I released Hyperlearn https://github.com/danielhanchen/hyperlearn. It has 1.2K Github stars, where I made tonnes of algos faster:
-
imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Project mention: [D] Have researchers given up on traditional machine learning methods? | reddit.com/r/MachineLearning | 2023-01-31- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
-
code
Compilation of R and Python programming codes on the Data Professor YouTube channel. (by dataprofessor)
Project mention: An "Improvement Prediction" error in R Shiny | reddit.com/r/learnprogramming | 2022-06-04The following below is my code (I did reference DataProfessor's code here while making my code). Not really sure what my error is and how to fix.
-
concrete-ml
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
Project mention: Concrete ML: transform machine learning models into a homomorphic equivalent | news.ycombinator.com | 2022-07-05 -
-
Project mention: Running a randomforest on residuals from a ridge linear model in scikit learn | reddit.com/r/datascience | 2022-10-27
Check out https://github.com/cerlymarco/linear-tree
-
-
-
WallStreetBets_BigDataAnalysis
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
-
Project mention: Need help with overfitting issue in a model I’m working on… | reddit.com/r/learnmachinelearning | 2023-01-15
I'm gonna plug my library Poniard, which I think might be helpful for a number of reasons.
-
-
aws-lambda-docker-serverless-inference
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook scikit-learn related posts
- [Python] Python Data Science Handbook
- Advise for applying theory
- ML and Data Science coding resources.
- Site like r4ds but for Python
- Python
- How to go about getting an internship or paid training?
- Need help with overfitting issue in a model I’m working on…
-
A note from our sponsor - #<SponsorshipServiceOld:0x00007f160f5b2210>
www.saashub.com | 1 Apr 2023
Index
What are some of the best open-source scikit-learn projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | ML-For-Beginners | 45,498 |
2 | PythonDataScienceHandbook | 37,921 |
3 | handson-ml | 24,988 |
4 | python-machine-learning-book | 11,817 |
5 | skorch | 5,088 |
6 | python-machine-learning-book-3rd-edition | 3,855 |
7 | ML-Workspace | 2,991 |
8 | eli5 | 2,655 |
9 | dtreeviz | 2,465 |
10 | FLAML | 2,364 |
11 | machine-learning-book | 1,721 |
12 | hyperlearn | 1,432 |
13 | imodels | 1,072 |
14 | code | 753 |
15 | concrete-ml | 325 |
16 | bert-sklearn | 273 |
17 | linear-tree | 236 |
18 | feature-engineering-tutorials | 227 |
19 | converse | 166 |
20 | WallStreetBets_BigDataAnalysis | 144 |
21 | poniard | 140 |
22 | fake-news | 123 |
23 | aws-lambda-docker-serverless-inference | 83 |