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