Statistics for topic kaggle
RepositoryStats tracks 616,864 Github repositories, of these 127 are tagged with the kaggle topic. The most common primary language for repositories using this topic is Jupyter Notebook (68). 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.
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
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...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
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
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...
Técnicas e recursos para estudar ciência de dados.
goto_conversion - Used by 4+ Gold Medal Solutions on Kaggle
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
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
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...
How to effectively finetune CV/LLM models (without local gpu)
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts...
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
a way to SSH into Kaggle. If you don't like ngrok because of CC, checkout zrok branch which dose not require CC
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
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-...
Instructions for connecting SSH between Kaggle and Visual Studio Code
Fast and customizable framework for automatic and quick Causal Inference in Python
How to effectively finetune CV/LLM models (without local gpu)
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀