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Practice your pandas skills!
Best Practices, code samples, and documentation for Computer Vision.
An open-source, low-code machine learning library in Python
Code samples used on cloud.google.com
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
🎁 5,400,000+ Unsplash images made available for research and machine learning
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
Codes for Kaggle Competitions
SimpleAICV:pytorch training and testing examples.
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
Predict whether a loan will be repaid using automated feature engineering.
Image Classification and Image Retrieval on landmarks using transfer learning on VGG16 and DeLF. This is a famous Kaggle competition https://www.kaggle.com/c/landmark-recognition-challenge
Predict whether or not a patient will show up to their next appointment using automated feature engineering