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A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.
Python Data Science Handbook: full text in Jupyter Notebooks
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
deep learning for image processing including classification and object-detection etc.
? A ranked list of awesome machine learning Python libraries. Updated weekly.
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Parallel computing with task scheduling