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1.
▲
Show HN: Mercury – Convert Jupyter notebooks to web apps
runmercury.com
31 comments
3 years ago
pplonski86
131 points
2.
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Show HN: Supertree – interactive visualization of decision trees in Python
17 comments
2 years ago
pplonski86
70 points
3.
▲
Show HN: Mercury – Turn Python Notebooks to Web Apps
1 comment
3 years ago
pplonski86
6 points
4.
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Show HN: New desktop app for Python notebooks, for beginners in data science
github.com/mljar
discuss
a year ago
pplonski86
3 points
5.
▲
Show HN: Compare AutoML frameworks on 10 Tabular Kaggle competitions
1 comment
5 years ago
pplonski86
2 points
6.
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Compare AutoML frameworks on 10 Tabular Kaggle competitions
discuss
5 years ago
pplonski86
1 points
7.
▲
Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
github.com/mljar
15 comments
4 years ago
pplonski86
67 points
8.
▲
Show HN: Mercury – Publish Jupyter Notebook as web app by adding YAML header
github.com/mljar
13 comments
4 years ago
pplonski86
61 points
9.
▲
Show HN: PlotAI – Create Plots in Python and Matplotlib with LLM
github.com/mljar
13 comments
3 years ago
pplonski86
51 points
10.
▲
Show HN: Web App with GUI for AutoML on Tabular Data
github.com/mljar
3 comments
3 years ago
pplonski86
41 points
11.
▲
Show HN: Low code Jupyter Notebook alternative with dashboards
github.com/mljar
4 comments
6 years ago
pplonski86
37 points
12.
▲
Show HN: Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)
github.com/mljar
8 comments
5 years ago
pplonski86
33 points
13.
▲
Show HN: Build dashboards in Jupyter Notebook from bloxs
github.com/mljar
1 comment
4 years ago
pplonski86
19 points
14.
▲
Show HN: Mljar-Supervised: AutoML Package with Explanations and Markdown Reports
github.com/mljar
1 comment
6 years ago
pplonski86
5 points
15.
▲
Show HN: Impress your boss with interactive Decision Tree Visualization
github.com/mljar
discuss
12 days ago
pplonski86
5 points
16.
▲
Show HN: Automated Machine Learning designed to save time for a data scientist
github.com/mljar
discuss
6 years ago
pplonski86
5 points
17.
▲
Show HN: Open-Source Web App with User Interface for AutoML on Tabular Data
github.com/mljar
2 comments
3 years ago
pplonski86
4 points
18.
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Show HN: Tired checking different ML algorithms? Try: mljar-supervised
github.com/mljar
1 comment
6 years ago
pplonski86
4 points
19.
▲
Show HN: Python API for Xgboost, LightGBM, Neural Networks, RGF, Random Forest
github.com/mljar
1 comment
9 years ago
pplonski86
4 points
20.
▲
Show HN: Supervised – Automated Machine Learning Python Package for Tables
github.com/mljar
discuss
6 years ago
pplonski86
4 points
21.
▲
Show HN: I create README.md for my machine learning models
github.com/mljar
1 comment
6 years ago
pplonski86
3 points
22.
▲
Show HN: Features Goldmine – Features Engineering Made Easy
github.com/mljar
discuss
2 months ago
pplonski86
3 points
23.
▲
Show HN: AutoML Web App Created from Jupyter Notebook
github.com/mljar
discuss
3 years ago
pplonski86
3 points
24.
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Show HN: Build dashboards in Jupyter Notebook with numeric and chart boxes
github.com/mljar
discuss
4 years ago
pplonski86
3 points
25.
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Show HN: Build dashboard boxes with charts and numbers in Jupyter Notebook
github.com/mljar
discuss
4 years ago
pplonski86
3 points
26.
▲
Show HN: Data Enrichment with AI for Pandas DataFrame
github.com/mljar
1 comment
a year ago
pplonski86
2 points
27.
▲
Show HN: SuperTree – interactive decision tree plot for sklearn,xgboost,lightgbm
github.com/mljar
discuss
13 days ago
pplonski86
2 points
28.
▲
Show HN: Mercury v3 – Convert Python Notebooks to Web Apps
github.com/mljar
discuss
a month ago
pplonski86
2 points
29.
▲
Show HN: Mercury v3 – Convert Python Notebooks to Web Apps
github.com/mljar
discuss
a month ago
pplonski86
2 points
30.
▲
Show HN: Desktop app for data science, Python notebook with code recipes and AI
github.com/mljar
discuss
a year ago
pplonski86
2 points
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