Statistics for topic kaggle
RepositoryStats tracks 584,797 Github repositories, of these 118 are tagged with the kaggle topic. The most common primary language for repositories using this topic is Jupyter Notebook (62). Other languages include: Python (37)
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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 tas...
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, AW...
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Fast and customizable framework for automatic ML model creation (AutoML)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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, AW...
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 tas...
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
Fast and customizable framework for automatic ML model creation (AutoML)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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, AW...
Instructions for connecting SSH between Kaggle and Visual Studio Code
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...
Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Pr...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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, AW...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
Fast and customizable framework for automatic and quick Causal Inference in Python
Instructions for connecting SSH between Kaggle and Visual Studio Code
