Statistics for topic kaggle-competition
RepositoryStats tracks 595,856 Github repositories, of these 28 are tagged with the kaggle-competition topic. The most common primary language for repositories using this topic is Jupyter Notebook (16).
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快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
Machine learning models to predict realtime financial market data provided by Jane Street
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning tech...
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Machine learning models to predict realtime financial market data provided by Jane Street
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
goto_conversion and efficient_shin_conversion (faster Shin's method)
4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions
Silver Medal Solution for the Kaggle Competition: RSNA 2024 Lumbar Spine Degenerative Classification
快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary...
4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
goto_conversion and efficient_shin_conversion (faster Shin's method)
4th Place Solution for the Kaggle Competition: LMSYS - Chatbot Arena Human Preference Predictions
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Silver Medal Solution for the Kaggle Competition: RSNA 2024 Lumbar Spine Degenerative Classification
goto_conversion and efficient_shin_conversion (faster Shin's method)
Stable Diffusion with Text-to-Image and Image-to-Text