kaggle
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This is my first Machine Learning Project. The project employs a variety of machine learning models, including Random Forests, Gradient Boosted Trees, and Neural Networks, to predict survival. Techniques for data cleaning, feature engineering, and model tuning are thoroughly documented in the Jupyter notebooks.
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Jan 31, 2024 - C++
multi-GPU solver for traffic light scheduling problem (Hash Code 2021)
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Nov 13, 2022 - C++
A Monte Carlo and max-flow approach
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Mar 15, 2018 - C++
Google - Fast or Slow? Predict AI Model Runtime - Kaggle
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Aug 30, 2023 - C++
Running field-aware factorization machines on the Criteo data
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May 30, 2018 - C++
Implementing a handwritten digits recognition application on the ESP32-CAM dev board using Tensorflow Lite for Microcontrollers & PlatformIO
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Aug 16, 2022 - C++
Code for Large Scale Hierarchical Text Classification competition. Final place: 3rd
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Oct 20, 2014 - C++
FashionAI Clothes Attribute Recognition
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Jun 26, 2018 - C++
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
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Jan 8, 2022 - C++
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
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Sep 25, 2021 - C++
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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Jun 4, 2024 - C++
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