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Top 11 Python Kaggle Projects
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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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Sevalla
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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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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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
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ailert
An open-source platform that aggregates AI content from 230+ sources including research papers, GitHub trends, and industry news, making AI knowledge accessible to everyone.
Project mention: Building an Open-Source AI Newsletter Engine: The Story of AiLert | dev.to | 2025-01-12Code: https://github.com/anuj0456/ailert Docs: https://github.com/anuj0456/ailert/blob/main/README.md
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Paper-Recommendation-System
Web interface to search ArXiv papers using NLP Sentence-Transformers, Faiss and Streamlit
Python Kaggle discussion
Python Kaggle related posts
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The fastest way to improve quality of ML model on tabular data
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How are deepfakes different from beauty face filters?
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[Project] Google ArXiv Papers with NLP semantic-search! Link to Github in the comments!!
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How to enrich ML models with open data for free: an in-depth review of 5 python libraries
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How I complete my email addresses lists with demographic insights with Python
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[OC] Divorced relationship status share of users at Facebook
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GitHub - searching open and public data through autoML. Please give a Star on GitHub
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A note from our sponsor - Sevalla
sevalla.com | 1 Sep 2025
Index
What are some of the best open-source Kaggle projects in Python? This list will help you:
# | Project | Stars |
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1 | data-science-ipython-notebooks | 28,284 |
2 | d2l-en | 26,601 |
3 | Pytorch-UNet | 10,427 |
4 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 3,897 |
5 | pytorch-toolbelt | 1,556 |
6 | MLBox | 1,520 |
7 | dfdc_deepfake_challenge | 821 |
8 | upgini | 337 |
9 | xgboost_ray | 148 |
10 | ailert | 27 |
11 | Paper-Recommendation-System | 22 |